inteligencia artificial para los creativos

Artificial Intelligence for Creatives Funded by the European Union. The opinions expressed belong, however, to the authors alone and do not necessarily reflect the views of the European Union or the European Executive Agency for Education and Culture (EACEA). Neither the EU nor the EACEA can be held responsible.

Who I am and why this presentation is important Welcome to this journey into the world of Intelligence Artificial for creative . I am an expert in creative technologies and digital innovation, with over 10 years of experience in the integration of AI tools into creative workflows. This presentation is crucial because AI is radically transform the way we create, We design and innovate. It is no longer a future, but a tool of the present that is redefining creative possibilities. +70% Increase creative productivity with AI 85% Creatives who will use AI by 2026

Presentation agenda - What you will learn today Fundamentals of AI 1 What is artificial intelligence 2 History and evolution of AI 3 Generative AI and how it works 4 Myths about creative AI Practical Applications 5 Graphic design and illustration 6 Photography and image editing 7 Video and motion graphics 8 Web design and UX/UI Tools and Future 9 Tools AI for creatives 10 Workflow and best practices 11 The future of creative AI 12 Personal action plan

The creative world is changing - Statistics and trends Adoption of AI in the creative sector (2020-2025) Fonte: Adobe State of Creativity Report 2025, McKinsey Global Institute Acceleration of creative processes AI reduces by 67% the time needed to generate initial concepts and drafts, allowing creatives to concentrate on refining and customisation. Democratization of creativity The 78% companies report that AI has creative to produce quality visual content by breaking down barriers between departments. Evolution of the skills required By 2026, the 85% creative professionals will need to integrate AI prompt engineering and management skills in the own skillset.

What is artificial intelligence "Artificial Intelligence is the ability of a computer system to simulate human cognitive processes such as learning, reasoning and self-correction." In simple terms, AI is a set of technologies that enable computers of perceive , understand , act and learn from experience, simulating some aspects of human intelligence. Data: The "fuel" of AI, from which it learns patterns and relationships Algorithms: The "instructions" guiding learning and the process decision Models: The "structures" representing acquired knowledge by the AI

AI vs Human Intelligence - Differences and complementarities Artificial Intelligence Speed: It processes huge quantities of Data in seconds Repeatability: Performs repetitive tasks without tiring Pattern: Identifies complex patterns in the data Human Intelligence Empathy: Includes emotions and cultural context Creativity: Generate original ideas and lateral thinking Review: Assesses ethical issues and complex moral Creative Synergy Rapid design: AI generates variants, the human selects and refines Intelligent automation: The human Guide the AI with prompt and direction creative Continuous iteration: Cycle of feedback that improves both AI is not a substitute for human creativity, but amplify and the potency , creating a new paradigm of creative collaboration.

Brief history of AI - from the origins to today 1950-1970 The birth of AI Alan Turing proposes the "Turing test". The term "Artificial Intelligence" was born at the Dartmouth conference. First rule-based expert systems. 1980-2000 The winter of AI Reduced interest period and funding. Development of more advanced expert systems. First machine learning algorithms with limited applications. 2010-2020 The rebirth of deep learning Deep neural networks revolutionize the field. AlphaGo beats the world champion of Go. The first generative models such as GANs and first voice assistants are born. 2020-2025 The era of generative AI Models such as DALL-E, Midjourney and GPT revolutionize content creation. AI becomes accessible to creatives without technical skills. Integration into creative workflows. The evolution of AI has undergone accelerations and slowdowns, but since 2020 growth is exponential, especially in the creative field.

Generative AI - The revolution for creatives Generative AI is a type of artificial intelligence that can create original content such as images, texts, music and videos by learning from patterns in huge datasets. Unlike traditional AI that analysis and ranking , l'IA generative creates and synthesizes , becoming an instrument of Unprecedented creative amplification. Transforms language into visual art Converts textual descriptions (prompts) into detailed images, allowing you to view ideas instantly. Fast iteration Generate multiple variations of an idea in seconds, dramatically accelerating the ideation and experimentation phase. Democratization of creativity Breaks down technical barriers, allowing anyone to create professional quality visual content. Example of AI-generated art through a diffusion model

Why AI is important for creatives today In today’s creative landscape, AI is no longer an option but competitive need For those who want to remain relevant and innovative. Speeding up the creative process Drastically reduces the time of conception and production, allowing to focus on the most strategic and creative aspects of the work. Expansion of creative possibilities Transcends technical boundaries and opens new expressive frontiers, allowing previously inaccessible styles and approaches to be explored. Market developments Customers are demanding more and more personalized content quickly. AI enables these needs to be met while maintaining high quality. Overcoming the creative block Offers new insights and directions when you are short on ideas, acting as a creative partner that stimulates inspiration. "AI does not replace human creativity, but offers a new language through which to express it. Who learns this language today will be advantage tomorrow." — Stefan Sagmeister, Designer

The myths to debunk about creative AI The reality of creative AI is very different from the myths surrounding it MITO #1 "AI will completely replace human creatives, making creative professions obsolete." Reality AI is a tool that empowers creative people, not replacing them. Requires human direction, sensitivity and judgement for optimal results. MITO #2 "AI-generated art is not true art because it lacks human intent and meaning." Reality AI is a tool in the hands of the artist. Intentionality and meaning come from the human choices of prompt, style and curation. MITO #3 "Using AI is cheating and shows lack of real technical skills." Reality Using AI requires new skills such as prompt engineering and creative direction. It is an evolution of tools, as was Photoshop or digital cameras. MITO #4 "AI produces only generic and unoriginal results." Reality With sophisticated prompts and iteration, AI can produce highly original results. True originality emerges from the collaboration between human and machine. Creative AI is neither a threat nor a panacea, but a powerful tool which requires human understanding, practice and vision to express its full potential.

SECTION 2 Practical Applications AI in action in the creative sector Graphic Design Logos, visual identities and illustrations Photography Editing, restoration and manipulation Video Motion graphics and post-production Web Design UX/UI and prototyping

AI in Graphic Design Artificial intelligence is Revolutionizing Graphic Design , By offering new creative possibilities and accelerating the processes of design. It is not a question of replacing human creativity, but amplify it. Automatic generation Creation of graphic elements, layouts and compositions based on textual prompts or specific parameters. Fast iteration Possibility to explore hundreds of variants in a few minutes, speeding up the concept and testing phase. Creative assistance Suggestions for color, typography and composition palettes based on established design principles. Scalability Automatic design adaptation for different formats, platforms and sizes while maintaining visual consistency. 73% of professional designers already use AI tools to speed up their creative workflow Examples of AI-generated graphic design: from concept art to complex layouts

Logo and Visual Identity Generation The AI can significantly accelerate the process of creating logos and visual identity systems, offering inspiration and variations creative in record time. 1 Brief and Parameters Industry definition, brand values, desired style and color preferences through detailed prompts. 2 Multiple Generation AI produces dozens of variations in minutes, exploring different creative directions and graphic styles. 3 Iterative Refinement Selection of the best proposals and refinement through more specific prompts and directional feedback. 4 Human Finalization The designer intervenes to refine, vectorize and adapt the logo for different applications. Key Benefits: • Concept time reduced from days to hours • Exploring unexpected and innovative styles • Overcoming the initial creative block • Ability to quickly test different directions Examples of AI-generated logos: from the initial concept to the final proposal

Illustrations and Concept Art The AI has Revolutionized the concept art , allowing artists to to explore complex visual ideas and create detailed illustrations in a fraction of traditional time. Gaming and Entertainment Creation of characters, settings and assets for video games, movies and TV series with consistent artistic styles. Publishing and Publications Illustrations for books, magazines and digital content, from children’s fiction to technical manuals. Marketing and Advertising Visual concepts for advertising campaigns, social media and promotional materials with emotional impact. Architecture and Design Architectural visualizations, interior concepts and representations of projects still in development. Practical advice Combine AI with traditional techniques: use AI for the design and concept phase, then finish manually to add your personal touch and ensure stylistic consistency. Example of AI-generated concept art: detail, atmosphere and creativity in one image

Pattern and Texture Design AI excels at generation of seamless patterns and texture complex, offering endless creative possibilities for applications of design and decoration. Geometric Patterns Creating complex geometric patterns, mandalas and mathematical patterns with precision and infinite variations. Organic Textures Simulation of natural surfaces such as wood, stone, textiles and organic materials with photographic realism. Textile design Pattern for fashion, furniture and decoration with styles ranging from classic to contemporary. Digital Background Wallpapers for interfaces, wallpapers and decorative elements for web and mobile applications. Texture 3D Texture maps for 3D models, PBR materials and surfaces for architectural renderings. Optimized workflow 1. Define style and parameters 2. Generate multiple variants 3. Seamless head 4. Fit for end use Examples of geometric patterns and organic textures generated by AI with chromatic variations

Case Study: Rebrand with AI EcoTech Solutions - From startup to industry leader EcoTech Solutions, a start-up in the renewable energy sector, a complete rebrand to position itself as an innovative leader. With resources limited and time-limited, they chose a hybrid AI-designer approach . 1 Brief and Competitive Analysis Defining brand values (innovation, sustainability, accessibility) and analyzing competitors using AI tools to extract insights from the market. 2 Generation of Concept Create over 200 logo variants using different generative AI templates, with specific prompts based on brand values and desired positioning. 3 Selection and refinement Selection of the 5 most promising directions and iterative refinement with team feedback. The designer manually perfected the final logo to ensure versatility and applicability. 4 Complete Identity System Development of a complete visual identity system: color palettes, typography, patterns and applications, using AI to generate consistent assets and application mockups. Results: • 70% reduction in development time (3 months to 3 weeks) • 60% savings on budget • 45% increase in brand recognition after 6 months • Positive feedback from customers and investors on the new identity Original Logo Concept IA Explore Variants Final Logo Evolution of the rebranding process: from the original logo and AI concepts to the final result "The hybrid AI-designer approach has allowed us to explore many more creative directions of what we could have done traditionally, while maintaining creative control and strategic on the final outcome." - Marco Bianchi, CMO of EcoTech Solutions

Evolution of Photo Editing with AI Artificial intelligence has Revolutionized photo editing , transforming processes that required hours of manual labour into Automated operations that take a few seconds. 1 Pre-2015: Editing Manual Pixel by pixel retouching, manual masks and precise selections. Advanced technical skills required for professional achievement. 2 2015-2018: Assisted Automation First intelligent selection tools, face recognition and adaptive filters based on machine learning algorithms. 3 2019-2021: Generative editing Object removal with contextual fill, intelligent background replacement and GAN-based semantic manipulation. 4 2022-2025: Conversational editing Image editing via textual prompts, understanding of context and intentions, and generating variations on demand. Future trends Fully conversational editing, preservation of authenticity with digital watermarks, and advanced customization based on the photographer’s individual style. Comparison between traditional editing and AI-assisted editing: same image, drastically reduced processing times

Restoration and Image Improvement Artificial intelligence has revolutionized the photographic restoration , allowing you to recover details from damaged images and Drastically improve the quality of historical or degraded photos. Reconstruction of details Deep learning algorithms that reconstruct missing or damaged parts based on millions of reference images, preserving the original style and context. Automatic colorization Transform black and white photos into realistic color images, with algorithms that analyze the context and apply color palettes appropriate to the time and subject. Super-Resolution Increase the resolution of low-quality images, adding realistic details and sharpness without the artifacts typical of traditional upscaling. Advanced Correction Automatic removal of noise, grain, chromatic aberrations and optical distortions, with intelligent preservation of important image details. Practical Applications • Restoration of historical photographic archives and cultural heritage • Recovery of damaged or faded family photos • Improved images for publications and documentaries • Optimisation of archival material for commercial use Before and after: restoration of a damaged historical photograph using AI techniques Comparison of Restoration Times Fonte: Digital Restoration Institute, 2024

Advanced Manipulation and Compositing Artificial intelligence has radically transformed the techniques of photo manipulation and compositing, making accessible to all operations that previously required years of experience with complex software. Semantic selection Automatically extract subjects from images with pixel precision, even with hair, fur or complex borders. Intelligent Removal Removal of unwanted objects with contextual reconstruction of the background, preserving textures and lighting. Harmonic Fusion Natural integration of elements from different images with automatic adaptation of color, lighting and perspective. Contextual Generation Creation of new visual elements that integrate perfectly with the existing image, based on textual prompts. 1 Subject selection 2 Preparation Elements 3 Initial Composition 4 Harmonization IA 5 Manual finishing Example of advanced compositing: integration of elements from different images with automatic harmonization Ethical considerations With the increasing ease of photo manipulation, it becomes essential to adopt ethical practices: declare manipulated images when presented as documentation, use watermarks for images generated or significantly altered, and respect the copyright of the original elements.

Colorization and Styling Artificial intelligence enables give new life to photos black and white stories and to transform ordinary images into works of art through advanced colorization techniques and stylization. Colouring Styling Historical Reconstruction Algorithms trained on millions of historical images to deduce realistic colors based on context, time and subject. Precise control Ability to guide the process with specific directions on desired colors for key elements of the image. Historical Palettes Application of specific color palettes for different historical periods, ensuring authenticity and consistency. Examples of colorization of historical photos and application of artistic styles using AI Practical tips • For historical colorizations, search references of the era for verify the accuracy • Combine multiple artistic styles to create a unique and personal look • Use masks to apply different styles to specific parts of the image • Always keep a copy of the original before applying irreversible changes

Video and AI animation Artificial intelligence is revolutionizing the world of video and of the animation , democratizing tools and techniques that previously required years of experience, expensive equipment and teams numerous. Generation of video Create videos from scratch using text prompts or transform static images into animated content. Automated Editing Intelligent mounting, automatic color grading and removal of unwanted elements with a simple prompt. Animation of Characters Creation and animation of 3D and 2D characters with natural control of movements and expressions. Motion Graphics Generate complex graphic animations, animated infographics and dynamic titles with minimal effort. Impact on Creative Workflow: Reduction of production times up to 80% for projects of medium complexity Democratization of competences with tools that are also accessible to experts Overview of the main AI-based video editing and animation tools available in 2025 Sector Statistics (2025) 68% Video professionals using AI tools 75% Reduced time for basic editing 4.2B$ Global market for AI video tools 3x Increased productivity per creator

Video Generation with AI Artificial intelligence has reached the capacity to Generate video Complete from scratch , based on simple textual descriptions or Turning static images into animated content with natural movement. Text-to-Video Generation of videos from detailed textual prompts that describe scenes, movements, visual style and desired atmosphere. Image-to-Video Animation of static images with realistic movements, like moving a portrait or animating a landscape with moving elements. Video Expansion Time extension of short clips, generating consistent content before or after the original sequence, or expanding frame borders. Style Transfer Dinamico Application of specific artistic or visual styles to existing videos, maintaining time consistency between frames. 1 Detailed Prompt 2 Initial Generation 3 Refining 4 Post-Production Interface of an AI video generation software showing the creation process from textual prompts Example of Effective Prompt "Create a 10-second video of a tropical rainforest at dawn, with sun rays filtering through the mist, leaves moving gently in the breeze, and a hummingbird flying slowly between the colorful flowers. Cinematic style with vibrant colors and shallow depth of field." Key elements for effective prompt: • Detailed description of scene and subjects • Indications on movement and dynamics • Specifications on visual style and atmosphere • Desired duration and transitions

Automated Video Editing Artificial intelligence is Radically transforming the process video editing , by automating complex and repetitive tasks that previously required hours of manual labour and technical skills advanced. Intelligent Assembly Automatic clip analysis to identify the best moments and create consistent edits based on rhythm, emotion and narrative. Automatic color grading One-click color correction and movie look application, with intelligent adaptation to lighting conditions. Generative Special Effects Create complex visual effects through textual prompts, from adding 3D elements to simulating natural phenomena. Audio Enhancement Automatic audio enhancement, noise removal, soundtrack generation and perfect synchronization with video. Activities Traditional Time Time with AI Reduction Selection of best clips 3-4 hours 10-15 minutes ~90% Color grading base 1-2 hours 2-5 minutes ~95% Removal of unwanted objects 30-60 min/item 1-2 min/item ~97% Audio-video synchronization 1-2 hours 5-10 minutes ~85% Interface of an AI-based video editing software that shows automatic editing and color grading capabilities Confronto Workflow Editing Source: Comparative study on editing times, Digital Creator Association, 2025

Animation of Characters Artificial intelligence is Revolutionizing the animation of characters Making available advanced techniques that were previously Required teams of specialist animators and months of work meticulous. Virtual Motion Capture Generation of motion capture data from standard video or simple text descriptions, eliminating the need for expensive equipment and specialized studies. Advanced Face Animation Creating realistic facial expressions and automatic lip synchronization from audio tracks or emotional descriptions. Generation of Stylized Movements Creation of animations with specific styles (cartoon, anime, realistic) by applying consistent stylistic transformations to basic movements. Video games and virtual reality Animation cinema Animated series and streaming content Avatar for metaverse and social AI animation software showing the generation of natural movements for 3D characters Animation process with AI 1 Character Creation or Import Import of an existing 3D model or generation of a new character via text prompts. 2 Automatic rigging The AI analyzes the character structure and automatically creates an optimized control skeleton. 3 Generation of Movements Creation of basic animations via text prompts or video references, with the possibility to mix styles. 4 Refinement and customization Specific modifications to the generated movements, with intuitive controls based on natural descriptions. 5 Export and integration Export animations in standard formats compatible with the main 3D software and game engine.

Intelligent motion graphics Artificial intelligence is transforming the world of motion graphics , allowing creatives to generate complex animations and dynamics with a simplified workflow and time production drastically reduced. Animated infographics Automatically transform data into animated visualizations with custom styles and smooth transitions. Kinetic Typography Text animation with dynamic effects that follow the rhythm of the audio or emphasize key concepts. Transitions and effects Generate custom transitions between scenes and complex visual effects based on textual descriptions. Integrated 3D elements Creation and animation of 3D elements that integrate seamlessly with traditional 2D compositions. Production time reduced by 70 for complex animations compared to traditional methods Accessibility for non-specialists through textual prompt-based interfaces and intuitive controls Quick iterations with the ability to generate multiple variations of style and movement in a few minutes An AI-based motion graphics software interface showing the generation of complex animations from text prompts AI tools for Motion Graphics MotionAI Studio Animate Anything Kinetic Text DataMotion 3D Motion FlowMotion Integration with existing software: Most of these Tools offers plugins for After Effects, Premiere Pro, DaVinci Resolve and other professional editing software, allowing a workflow hybrid that combines the power of AI with the creative control of traditional tools.

Web Design and UX/UI with AI Artificial intelligence is Radically transforming the process Web design Making available advanced tools that automation of complex tasks and enable designers to focus on the most creative and strategic aspects. Layout and Wireframe Automatic generation of layouts and wireframes based on specific requirements, style preferences and usability best practices. Design System Creation and management of consistent design systems with automatic generation of components, variants and documentation. Prototyping Rapid development of interactive prototypes with automatic generation of component animations, transitions and statuses. Testing and Optimisation Automatic usability analysis, simulation of user paths and interaction-based optimization. Main Benefits: Reduction of design time up to 70% for projects of medium complexity Greater visual consistency through the automatic application of design rules Improved accessibility with automatic suggestions for WCAG compliance and usability Overview of the main AI-based web design and UX/UI tools available in 2025 Sector Statistics (2025) 78% Web designers using AI tools 65% Reduced time for wireframing 3.8B$ Global market for AI web tools 4x Increased productivity for teams Fonte: Web Design Industry Report 2025, Digital Experience Association

Generation of Layout and Wireframe Artificial intelligence has revolutionised the early stages of web design, allowing Generate layouts and wireframes complete from simple textual descriptions or references visual, dramatically accelerating the creative process. 1 Definition of requirements Detailed description of the type of site, target audience, main content and business objectives. The more specific the requirements, the more accurate the result. 2 Generation of Variants AI produces multiple variants of layouts and wireframes based on requirements, automatically applying design principles and usability best practices. 3 Iterative Refinement Specific feedback allows you to refine the generated layouts by modifying elements such as visual hierarchy, content density or overall style. 4 Export and Implementation The final wireframes can be exported in formats compatible with major design tools or directly as responsive HTML/CSS code. 80% time reduction in wireframing versus methods traditional Exploring more solutions in parallel, increasing the likelihood of finding innovative designs Interface of an AI tool for web layout generation that shows different variants created from a single prompt Example of Effective Prompt "Generate a wireframe for an e-commerce of craft products with focus on product photography. The site must have a homepage with hero section, featured categories, best selling products and testimonials. Target: adults aged 25-45 with an interest in design and sustainability. Style: minimalist with large white space. Device: optimized for mobile." The most effective prompts include: type of site, target audience, main content, desired visual style and priority devices. Specifying examples of reference sites can further improve results. Main Tools: LayoutGPT WireframeAI Figma AI Layout UX Architect

Rapid Prototyping Artificial intelligence has transformed the prototyping phase, allowing Creating complete interactive prototypes in a few minutes rather than hours or days, dramatically accelerating the cycle of feedback and iteration in the design process. Generation from Description Creation of working prototypes from simple textual descriptions or sketches, with automatic generation of components and interactions. Intelligent Transitions Automatic generation of animations and transitions between interface states, with suggestions based on established UX patterns. Prototype to Code Direct conversion of prototypes into working frontend code (React, Vue, Angular) with reusable components and consistent styles. Contextual Feedback Automated analysis of prototype usability with improvement suggestions based on best practices and interaction data. Case Study: Design Studio Milanese A Milanese design firm has reduced prototyping time for an app e-commerce da 3 days to 2 hours , using AI tools to generate prototypes fully interactive. The team was able to test 5 different checkout with real users in just one day, quickly identifying the solution optimal which led to an increase in 23% in the conversion rate . Interface of an AI-based prototyping tool showing the generation of an interactive prototype from a textual description Comparison: Traditional Prototyping vs AI Appearance Traditional Con IA Time for basic prototype 4-8 hours 5-15 minutes Possible iterations per day 2-3 15-20 Complexity of interactions Limited by time Complete Design variants that can be explored 2-3 10+ Time to adapt to different devices 2-4 hours Automatic Fonte: UX Design Productivity Report 2025, Nielsen Norman Group

Design System Automated Artificial intelligence is revolutionising creation and management of the design systems, allowing Automatically generate consistent components and complete documentation, ensuring visual and functional consistency across products and platforms different. Generation of Tokens Automatic creation of design tokens (colors, typography, spaces) with variations and states, ensuring accessibility and visual consistency. Components Library Generation of complete UI components with variants, states and properties, based on defined tokens and usability best practices. Automatic Documentation Creation of technical documentation and user guidelines for each component, with implementation examples and use cases. Intelligent Update Automatic identification of inconsistencies and propagation of updates across different products and platforms. 75% time reduction necessary to create and maintain a design complete system Improved visual consistency through different products with reduction 90% of inconsistencies Guaranteed accessibility with automatic checking of contrast, readability and Compatibility with assistive technologies Interface of an AI tool for the generation and management of design systems showing the automatic creation of components and tokens Creation workflow with AI Brand definition Generation of tokens Creating Components Documentation Impact on Team Productivity Fonte: Design System Efficiency Report 2025, Design Tools Association

UX Testing and Optimization Artificial intelligence has transformed the testing process and optimization of the user experience, allowing analyse behaviour, identify problems and suggest improvements based on real data and advanced simulations. Simulated User Test Simulation of thousands of virtual users with realistic behaviors interacting with the interface, identifying usability issues and bottlenecks in the flow. Predictive Analysis of Attention Accurate prediction of users' visual focus areas, with heat maps and visual scan paths generated without the need for physical eye-tracking. Multiparametric Optimization Simultaneous testing of hundreds of design variants with learning algorithms to identify the optimal combination of elements to maximize specific metrics. Advanced Accessibility Check Comprehensive accessibility analysis with simulation of different disabilities and assistive devices, generating detailed reports and suggestions for improvement. Case Study: Piattaforma Fintech A fintech platform used AI to optimize the onboarding process, Automatically testing 128 design variants. The system has identified a optimal combination which has reduced the 34% and increased the conversions of the 27% , with a ROI of 1200% on investment in testing IA. Dashboard of an AI-based UX testing tool showing user behavior analysis and optimization suggestions Impact on UX Metrics Fonte: UX Optimization Benchmark Report 2025, Nielsen Norman Group

Copywriting and AI Content Artificial intelligence is revolutionizing the world of copywriting and content creation, enabling creatives to generate, Optimize and customize texts quickly and effectively, Increasing productivity and quality of results. 73% Marketers use AI for content creation 5x Increased productivity in AI content creation 68% Reduction of time required for research and optimization Generation of Creative Texts Creation of original content for blogs, social media, advertising, storytelling and fiction, with styles and tones customizable according to the target. SEO Optimization and Analytics Analysis and optimization of content for search engines, with keyword suggestions, structure and readability to maximize visibility. Personalisation of Content Dynamic adaptation of texts based on user profile, context and behavior to increase engagement and conversions. Translation and localization High quality machine translation with cultural and contextual adaptation, maintaining the tone, style and intent of the original message. An AI-based copywriting tool interface that shows content generation for different platforms AI Tools for Copywriting CopyAI Generation of copy for marketing Jasper Long and creative content SurferSEO Advanced SEO optimization DeepL Write Translation and rewriting Writesonic Content for e-commerce Anyword Predictive copy with analytics Fonte: Content Marketing Tools Report 2025, Content Marketing Institute

Generation of Creative Texts Artificial intelligence has reached surprising levels in generation of creative texts, enabling professionals to create Original and engaging content for different platforms and purposes; Drastically reducing production times and expanding creative possibilities. Blog and Articles Generation of complete articles, blog posts, guides and tutorials with logical structure, relevant data and brand-consistent style. Copy Advertising Creation of catchy headlines, memorable slogans, product descriptions and copy for advertising campaigns on different channels. Social media Production of posts, captions, tweets and content optimized for each social platform, with appropriate tone of voice and length. Narrative and Storytelling Development of stories, dialogues, descriptions and creative narratives for books, screenplays, podcasts and entertainment content. Efficient generation process 1 Definition of Target and Audience Clearly identify the purpose of the content, target audience and distribution channel. 2 Creation of Detailed Prompts Formulate precise instructions with tone, style, length and key information to include. 3 Iteration and Refinement Evaluate the output, provide feedback and refine the text through subsequent prompts. 4 Revision and customization Add the human touch, check accuracy and adapt content to the brand voice. Example of an AI tool interface for generating creative texts with different style and format options Example of Effective Prompt Prompt: Write a 150-word Instagram post for a sustainable fashion brand launching a new summer collection. The tone should be inspiring but informative, including the eco-friendly materials used (organic cotton and recycled polyester) and the message that fashion can be both beautiful and responsible. Include 3 relevant hashtags at the end. Result: ✨ Summer meets sustainability in our new collection "Natura Viva" ✨ Imagine walking on the beach, wrapped in fabrics that Caress the skin like a summer breeze, while the sun reflects on vibrant colors inspired by the natural elements. Each garment tells a story of respect for the planet: cotton organically grown without pesticides that breathes with you, and the Recycled polyester that gives new life to what otherwise would pollute our oceans. We have created this collection with the conviction that Beauty must never compromise the future. Because the real Elegance lies in the conscious choices we make every day. Discover "Natura Viva" in our shops and online. The fashion you love, the planet you respect. #ModaSostenible #NaturaViva #FashionRevolution

SEO Optimization and Analytics Artificial intelligence has transformed engine optimization research, allowing creatives to to analyse, optimise and Monitor the content more effectively, based on data Advanced and accurate forecasts to maximize online visibility. Research and Keyword Analysis Automatically identify relevant keywords, analyze search intent and suggest related terms with volume and competitiveness predictions based on advanced predictive models. Content Optimization Semantic analysis of texts with suggestions for improving keyword density, readability, structure and optimal length, maintaining a balance between SEO and editorial quality. Competitive Analysis Automatic competitor content monitoring with identification of content gaps, niche opportunities and differentiation strategies to outperform the competition. Performance Forecast Predictive models that estimate the potential ranking, traffic and conversions of a content before publication, allowing preventive optimizations. Case Study: Technology Blog A technology blog has implemented AI tools for SEO optimization, Analysing and improving 200 existing articles. In 3 months, organic traffic is increased by 143% , the residence time of the 37% and the conversions of 89% . The The time needed for optimization has been reduced by 85%, allowing team to focus on creating new content. Dashboard of an AI tool for SEO optimization that shows keyword analysis and improvement suggestions Impact of AI on SEO Optimization Fonte: SEO Performance Report 2025, Search Engine Journal Best Practices for AI Optimization Balancing SEO optimization and content quality Optimize for search intent, not just keywords Update existing content regularly Monitor and adapt to algorithm updates

Personalisation of Content Artificial intelligence has revolutionised the personalisation of content, allowing creatives Automatically adjust the messages based on audience , context and behaviour of the user, significantly increasing engagement and conversions. Most Important Content perfectly aligned to the specific interests, needs and behaviors of each audience segment. Increase Conversions Significant increase in conversion rates through targeted messages that meet specific needs. Operational efficiency Drastically reducing the time it takes to create content variations for different audience segments. Dynamic adaptation Content that evolves in real time according to the user’s behavior and context of use. Approaches to Personalization 1 Advanced Segmentation Subdivision of the audience into micro-segments based on demographic, behavioural and psychographic data, with automatic generation of specific content for each group. 2 Customization 1:1 Create unique content for each individual user, adapting tone, style, examples and references based on the individual profile and interaction history. 3 Contextual Adaptation Dynamic content modification based on contextual factors such as geographic location, device, time of day, weather and current events. 4 Multiparameter testing Simultaneous generation and testing of hundreds of content variants to automatically identify the most effective combinations for each segment. Dashboard of an AI content personalization tool that shows different audience segments and content variants Example of Customization Senior Professional Age: 45-55 Interests: ROI, efficiency, strategy Behaviour: Reading thorough "Optimize your technology investment with our enterprise solution, designed to increase operational efficiency by 35% and ensure a measurable ROI in 6 months. Our 4-phase implementation strategy minimises operational disruptions." Young Professional Age: 25-35 Interests: Innovation, growth, flexibility Behaviour: Consumption rapid "Accelerate your career with our intuitive solution that lets you work smarter, not harder! Join a community of innovators who are revolutionizing the industry. Start free and scale when you’re ready." Results of Customization +47% Engagement +68% Conversions -25% Abandon Fonte: Content Personalization Impact Study 2025, Marketing AI Institute

Translation and localization Artificial intelligence has transformed the translation process and localization, allowing creatives to adapt the content to different languages and cultures quickly, accurately and culturally appropriate, opening up new opportunities for global expansion. Advanced Neural Translation Contextual translation that preserves the original meaning, style and tone, with an understanding of linguistic nuances, idiomatic expressions and specialist terminology. Cultural Adaptation Modification of cultural references, metaphors, examples and images to make them relevant and appropriate for the target audience, avoiding misunderstandings or insults. Multilingual Synchronization Simultaneous management of content in multiple languages, with automatic updates in all versions when the original content is modified, maintaining consistency. Automatic quality control Automatic verification of terminological consistency, grammatical correctness and cultural appropriateness, with suggestions for improvement based on previous feedback. AI Localization Workflow 1 Analysis Content evaluation and identification of cultural elements 2 Translation Neural translation preserving context and style 3 Adaptation Modification of specific cultural elements for the target market 4 Review Quality control and optimization with human feedback Dashboard of an AI translation and localization tool that shows content in different languages and cultural adaptation suggestions Example of localization Original (English) "Our new autumn collection is perfect for the cool evenings in the square, when the sun goes down and the lights of the cafes light up. Each piece has been created with the passion and attention to detail typical of Italian craftsmanship." Adaptation USA "Our new fall collection is perfect for cool evenings downtown, as you grab a pumpkin spice latte after work. Each piece is crafted with the passion and attention to detail that Italian craftsmanship is known for worldwide." Adaptation Japan "私たちの新しい秋コレクションは、仕事帰りに友人と居酒屋で一杯飲むような涼しい夕方に最適です。各アイテムは、世界的に有名なイタリアの職人技による情熱と細部へのこだわりで作られています。" +82% Precision compared to traditional translation -75% Time of localization +43% Engagement in local markets Fonte: Global Content Localization Report 2025, CSA Research

AI Tools and Creative Tools The ecosystem of AI tools for creatives is changing rapidly, Offering increasingly powerful and affordable solutions for amplify creative abilities at every stage of the creative process, from Generating ideas for content production and distribution. Main Categories Generation of images Tools to create original images from textual descriptions, modify existing images or generate variations. Photo editing Solutions to enhance, restore, manipulate and transform photographic images with precision and ease. Video and Animation Platforms to generate video from text or images, animate characters, create special effects and automate editing. Design and illustration Tools for creating logos, illustrations, layouts, wireframes and prototypes with intelligent assistance. Copywriting and Content Assistants to generate creative texts, optimize content, translate and adapt messages for different audiences. Audio and Music Tools to compose music, generate sound effects, create voiceover and improve audio quality. Required levels of competence Beginner Intuitive, no-code interfaces with templates and guided assistants. Ideal for those approaching creative AI. Intermediate Tools with advanced customization options and basic prompt engineering. For experienced creatives. Advanced Platforms with API, deep customization and workflow integration. For professionals and teams. Dashboard of an AI platform that integrates different creative tools in a single interface Adoption of AI Tools by Category (2025) Source: Creative AI Tools Survey 2025, Adobe & Forrester Research

Tools for Image Generation AI-based imaging tools enable creative of turn textual descriptions into original images , offering new possibilities for concept art, illustrations, design and Visualizing ideas with unprecedented speed and versatility. Main Tools Tool Main Features Price Level Midjourney Excellent artistic quality, diverse styles, active community, Discord interface, advanced control with parameters €25-€120/month Intermediate DALL-E 3 Integration with ChatGPT, excellent text comprehension, high prompt fidelity, fast generation, composition control €20/month Beginner Stable Diffusion Open source, customizable, specialized templates, local installation possible, total control over the process Free Advanced Adobe Firefly Integration with Adobe suite, secure generation for commercial use, focus on design, integrated editing tools €9-€30/month Intermediate Canva AI Image Canva editor integration, ease of use, ready-to-use templates, generation and editing in one environment €10-€25/month Beginner Main Use Cases Concept Art and Design Quick visualization of creative ideas, exploration of styles and artistic directions, creation of moodboards and visual references. Illustrations and graphics Creation of illustrations for publications, social media, presentations, packaging and promotional materials. Prototypes and Mockups Generation of product mockups, architectural visualizations, design prototypes and environment simulations. Asset for Digital Projects Creation of textures, backgrounds, icons and visual elements for websites, apps, games and digital content. Comparison of output between different image generation tools with the same prompt Comparison of the main instruments Midjourney • Superior artistic quality • Excellent for artistic styles • Control with V6 parameters • Interface Discord • Higher cost DALL-E 3 • Better understanding prompt • Integration with ChatGPT • Fast generation • Simple web interface • Average price Stable Diffusion • Open source and free • Maximum customization • Local installation • Specialized models • Steep learning curve Updated in July 2025 - Features subject to change with new releases

Prompt Engineering for Images Prompt engineering is the art and science of formulate instructions effective for AI image generation tools. A well-structured prompt is the key to high qualities that correspond exactly to the creative vision desired. Structure of an Effective Prompt 1 Main Subject Clear and specific description of the main subject of the image (person, object, scene, landscape). 2 Attributes and details Specific characteristics, colours, materials, expressions, postures, lighting, season, time of day. 3 Artistic style References to artistic styles, artists, periods, techniques (photorealistic, illustration, oil painting, watercolor). 4 Technical parameters Technical specifications such as quality, resolution, aspect ratio, depth of field, perspective. 5 Modifiers and Weights Keywords to emphasize elements (::5), reduce elements (::0.5) or exclude elements (no, without). Best Practices Be specific and detailed The more details you provide, the more AI will understand your vision. Avoid vague terms like "nice" or "interesting". Use visual references Cite specific artists, films, photographers or styles to guide aesthetics (e.g. "in the style of Monet" or "as a photo by Annie Leibovitz"). Research and Development Use the initial results to improve the prompt by adding details or editing items that do not work. Use Advanced Parameters Use the specific parameters of each instrument (--ar 16:9, -chaos 30, -styles 1000) for more precise control. Conceptual scheme of the prompt engineering process for AI image generation Example of Prompt and Result Basic Prompt (Weak): A woman in a cafe. Optimized Prompt (Strong): A young woman sitting in an open-air Parisian café sipping an espresso. She wears an elegant blue dress and a straw hat. Warm lighting in the late afternoon, bokeh in the background. Photorealistic style, inspired by Steve McCurry, high resolution, sharp focus on the subject, shallow depth of field. --ar 4:5 --styles 750 Key elements: Specific subject (young woman), setting detailed (outdoor Parisian coffee), attributes (blue dress, hat of straw), lighting (late afternoon), style (photorealistic, Steve McCurry), technical parameters (high resolution, bokeh, depth of field), modifiers (-ar 4:5, -stylize 750). Note: Parameter syntax may vary between different imaging tools

Tools for Photo Editing AI-based photo editing tools have revolutionized the post-production process, allowing automate complex operations to achieve professional results in a fraction of the time required by traditional methods. Main Tools Tool Main Features Price Level Adobe Photoshop AI Complete suite with Generative Fill, Generative Expand, Neural Filters, Content-Aware, integration with Creative Cloud €25-€60/month Intermediate Luminar Neo Sky replacement, object removal, AI portraits, texture improvement, atmospheric effects, intuitive interface €10-€15/month Beginner Topaz Photo AI Specialized in upscaling, noise reduction, sharpness, restoration of old photos, automatic correction €199 one time Beginner Runway ML Advanced inpainting, content generation, semantic manipulation, integrated video tools €15-€35/month Intermediate Cleanup.pictures Simplified object removal, web interface, no installation, quick results Free Beginner Main Features Removal of objects and persons Intelligent removal of unwanted elements with automatic background reconstruction, preserving textures and lighting. Restoration and improvement Recovery of details in damaged or low resolution photos, colorization of black and white images, noise reduction. Retouching Portraits Automatic improvement of skin, eyes, teeth, facial expressions, with control over the naturalness of the result. Advanced Manipulation Replacement of skies, backgrounds and objects, addition of generated elements, semantic changes based on textual descriptions. Interface of a photo editor with AI showing automatic enhancement and advanced manipulation features Editing workflow with AI 1 Basic Analysis and Optimization The AI analyzes the image and applies automatic exposure, color, contrast and sharpness corrections. 2 Selective Improvement Apply smart filters to specific areas or elements of the image (sky, skin, vegetation). 3 Creative Manipulation Removal or addition of elements, structural changes, generation of complementary content. 4 Finishing and Finalisation Application of styles, artistic effects, final corrections and optimization for the desired output. Compared to the traditional workflow, AI editing reduces time by up to 80% while maintaining or improving quality

Video Generation and Editing Tools AI-based video generation and editing tools are transforming video production, allowing create content of high quality with minimal effort, automate complex processes and achieve effects that were once accessible only to professionals with High budgets. Main Tools Runway Gen-2 €15-€35/month Leading platform for generating video from text or images, with advanced creative control. • Text-to-video e image-to-video • Control style and movement • Integration with editing suite Pika Labs €0-€20/month Accessible tool to generate videos from textual prompts, with focus on ease of use and quality. • Intuitive Discord interface • Fast generation (15-30 sec) • Free plan available Descript €12-€24/month Text-based video editor that simplifies editing by treating the video as a document. • Editing based on transcription • Automatic removal "um/uh" • Voice cloning and overdub Synthesia €22-€89/month Platform to create videos with virtual presenters from simple text, ideal for educational content. • 120+ avatars and 140+ voices • 65+ languages supported • Templates ready to use Kapwing €0-€20/month Online video editor with powerful AI tools for subtitles, background removal and content generation. • Transcription and subtitling • Removal of video background • Generation of scripts and images Elai.io €0-€59/month Platform to create explanatory videos and animated text presentations, without technical skills. • Realistic AI presenters • Convert PPT to video • Advanced customization Categories of AI Video Tools Category Description and applications Generation from Zero Create original videos from text prompts or static images. Ideal for concept, short animations, special effects and creative visualizations. Automated Editing Intelligent mounting, element removal, quality improvement, stabilization, coloring and upscaling. Perfect for efficient post-production. Avatar and Presenters Creation of virtual presenters speaking from scripts. Great for training videos, business presentations and multilingual content. Subtitles and transcriptions Automatic generation of subtitles, transcriptions and translations. Essential for video accessibility, localization and SEO. Interface of an AI video generator showing the creation process from textual prompts Production Time Comparison: Traditional vs AI Fonte: Digital Content Production Survey 2025, Forrester Research

AI Tools for Graphic Design The AI-powered graphic design tools are Revolutionising the industry, enabling designers to automate repetitive activities , generate creative variations and optimize the workflow, allowing you to focus more on the aspects strategic and creative design. Main Tools Adobe Illustrator AI €25-€60/month Professional suite with integrated AI features such as Generative Recolor, Generative Fill and Text to Vector. • Intelligent vector recoloring • Generation of patterns and textures • Conversion text to vectors Canva AI €0-€12/month Accessible platform with Magic Design, Magic Eraser, Magic Edit and Text to Image for quick creations. • Design automated by prompt • Removal and replacement of objects • Generation of brand kits Figma AI €0-€15/month Collaborative design tool with AI capabilities for wireframing, prototyping and system design. • Generation of layouts from prompt • Automatic creation of variants • Optimization of components Vectorizer.ai €0-€19/month Tool specialized in converting raster images into high quality vectors with advanced AI. • Automatic vectorization • Shape and contour recognition • SVG optimization Khroma Free AI-based color palette generator that learns the designer’s preferences and suggests combinations. • Custom palettes • Learning preferences • Export in various formats Looka €0-€20/month Platform specialized in the creation of logos and visual identity with AI, generating unlimited variations. • Generazione logo da prompt • Brand complete kit • Automatic mockups Main AI Features in Graphic Design Generation of Elements Automatic creation of icons, patterns, illustrations and logos from textual descriptions or visual references. Layout optimization Intelligent suggestions to improve the composition, alignment and distribution of graphic elements. Vector Manipulation Automatic conversion from raster to vectors, trace simplification and shape optimization. Automation Style Consistent application of styles, generation of variants and adaptation to different formats and sizes. Adobe Illustrator interface with AI-based vector recoloring feature Comparison AI Functionality: Traditional vs AI Activities Traditional approach Con IA Creation of logo 2-3 days 1-2 hours Generation Pattern 4-6 hours 5-10 minutes Vectorization 1-2 hours 2-5 minutes Variants Colour 30-60 minutes 1-2 minutes Adaptation Formats 1-3 hours 5-15 minutes Fonte: Design Productivity Report 2025, Adobe Creative Cloud

AI Tools for Typography Artificial intelligence is transforming the world of typography, Enabling designers to create custom fonts , generate Unique typographical effects and optimize text layouts in ways that Previously required hours of manual work or skills specialized. Main Tools Fontjoy Free Font combination generator that uses AI to create harmonious combinations between different fonts. • Smart matching • Control level contrast • Preview in real time Calligrapher.ai Free Tool that generates realistic calligraphy with AI, simulating handwriting in different styles. • Multiple styles of calligraphy • Speed and variability control • Export to SVG Fontself Maker $49 one time Plugin for Adobe Illustrator and Photoshop that uses AI to optimize the creation of custom fonts. • Creating fonts from drawings • Automatic optimization • OpenType Support Simplified AI Text Effects $0-$30/month Platform that generates advanced typographic effects with AI, ideal for titles, logos and social graphics. • Hundreds of predefined styles • Advanced customization • Export in high resolution Typeface.ai $15-$45/month Platform that uses AI to generate custom fonts based on text inputs or visual references. • Generation from prompt • Typographical variables • Export in various formats Adobe Express Text Effects $0-$10/month Adobe tool that uses AI to generate creative text effects with a simple text prompt. • Generation from description • Creative Cloud integration • Advanced post-generation editing Main Applications Creation of Custom Fonts Generation of unique fonts based on text prompts, existing styles or drawings, with automatic kerning and spacing optimization. Advanced Typographic Effects Create 3D effects, textures, animations and artistic styles applied to text, with professional results in just a few minutes. Combinations and hierarchies Clever suggestions for harmonic font combinations and optimal typographic hierarchies for different contexts and media. Layout optimization Automatic improvement of readability, visual rhythm and balance of typographic elements in complex layouts. Interface of an AI-based font generator showing the process of creating a custom font Font Creation Workflow with AI 1 Input and References Provide textual prompts, visual references or sample characters that define the desired style. 2 Generation and Variants AI generates multiple input-based variants of the font, exploring different stylistic interpretations. 3 Technical Optimization Automatic refinement of kerning, spacing, alignment and consistency between glyphs. 4 Export and Implementation Finalization of the font in various formats (OTF, TTF, WOFF) and testing in real-world contexts. Examples of AI typographic effects Neon effect Generated with Adobe Express Text Effects from a simple text prompt. 3D Typography Created with Simplified AI Text Effects in seconds. Custom Calligraphy Generated with Calligrapher.ai simulating handwriting. Variable Font Created with Typeface.ai by a descriptive prompt.

AI Tools for Music and Audio Artificial intelligence is revolutionising the world of manufacturing music and audio, allowing creatives to generate compositions original , create innovative sound design and optimize the process of production, even without advanced musical skills. Main Tools AIVA €0-€49/month Advanced AI music composition platform specializing in emotional soundtracks for movies, games and media. • Complete orchestral compositions • Control style and mood • Export to MIDI and WAV Soundraw €0-€19/month AI-based royalty-free music generator that creates complete songs customized according to genre, mood and duration. • Multiple musical genres • Structure control track • Commercial license included Mubert €0-€29/month Platform that generates adaptive music in real time with AI, ideal for streaming, apps and interactive content. • Generation from text prompt • Adaptive infinite streaming • API for developers Boomy €0-€15/month Tool that allows you to create complete songs in a few seconds and publish them on streaming platforms with revenue sharing. • Creation with a click • Integrated distribution • Earnings from streaming Loudly €0-€25/month Music production suite with AI that offers automated beat generation, melodies, arrangements and mixes. • Beat maker IA • Separation stem • Automatic mastering Soundful €15-€39/month Professional platform for the generation of studio-quality music tracks, with a focus on production for creators. • Professional quality • Advanced customization • License for monetization Categories of AI Audio Tools Composition of music Instruments that generate melodies, harmonies and complete arrangements in various musical genres and styles. Sound Design Solutions for the creation of sound effects, textures and soundscapes for films, games and media. Mixing and mastering Tools that automate the mixing and mastering process to achieve professional results. Transcription and analysis Solutions for the transcription of audio in musical notation and the analysis of musical structures and patterns. Interface of an AI-based music generator showing the process of creating an original composition Feature Comparison: Traditional vs AI Activities Traditional approach Con IA Composition Song 2-7 days 5-30 minutes Creating Beat 3-6 hours 1-10 minutes Sound Design 4-8 hours 10-30 minutes Mixing 5-10 hours 15-60 minutes Mastering 2-4 hours 5-15 minutes Fonte: Music Production Efficiency Report 2025, Future Music Magazine Main Use Cases Content Creator Background music for videos, podcasts and social content without copyright issues. Game Developers Adaptive soundtracks and sound effects for immersive gaming experiences. Independent Filmmakers Custom music for short films, documentaries and low budget projects. Musicians and producers Creative inspiration, overcoming writer’s block and speeding up the workflow.

AI Voice-over and Storytelling Tools Voice-over and storytelling tools based on AI are transforming audio production, allowing creatives to Generate ultra-realistic synthetic voices in different languages, styles and emotions drastically reducing time and costs compared to the hiring of professional voice actors. Main Tools Eleven Labs €0-€330/month Leading platform for the generation of ultra-realistic synthetic voices with advanced control over tone, emotion and style. • Custom voice cloning • Control emotions and intonation • API for integration Murf.ai €0-€39/month Complete voice-over studio with integrated audio editor, ideal for presentations, explanatory videos and podcasts. • 120+ voices in 20+ languages • Collaborative audio editor • Synchronization with video Play.ht €0-€59/month Platform with over 900 entries in 142 languages, specialized in converting articles and blogs into podcasts and audio content. • Advanced multilingual voices • Converting articles to audio • Widget for websites Speechify €0-€19/month Text-to-speech tool with a focus on accessibility, ideal for converting texts, PDFs and books into audio. • Browser extension • Document OCR scanning • Multi-device synchronization Resemble.ai Customized Enterprise solution for voice cloning and generation of synthetic voices by brand, with focus on security. • Ethical voice cloning • Business workflow integration • Security and GDPR compliance Descript €0-€24/month Complete audio and video editing suite that includes voice cloning and synthetic voice generation. • Overdub (voice cloning) • Text-based audio editing • Noise removal and corrections Main Features Multilingual Voice Generation Create audio in dozens of different languages and accents, with natural pronunciation and correct intonation. Emotional and stylistic control Adjustment of tone, rhythm, emphasis and emotions to adapt the voice to the context and message. Vocal Cloning Creation of synthetic voices based on existing voice samples, with customization options. Lip synchronization Generation of audio perfectly synchronized with the lip movement of characters or avatars. Interface of an AI-based text-to-speech tool showing voice customization options Voice-over creation workflow with AI 1 Script preparation Text optimization for speech synthesis, focusing on pronunciation, pauses and emphasis. 2 Select Voice and Style Choice of the most suitable voice for the project and customization of tone, rhythm and emotion. 3 Generation and Review Audio creation, listening and tuning with pronunciation and pitch adjustments. 4 Post-production and Integration Audio optimization, addition of sound effects and integration with the final project. Main Applications Explanatory videos Professional storytelling for tutorials, training videos and educational content. Location Content Multilingual dubbing for video, games and digital content for international markets. Podcasts and audio books Convert articles, blogs and books into professional-quality audio content. Virtual Assistants Custom entries for chatbots, IVR and automated response systems.

AI Tools for 3D Modelling Artificial intelligence is revolutionising the world of 3D modelling, allowing creatives to generate, manipulate and Optimizing three-dimensional models quickly and efficiently, also without advanced technical skills, opening up new possibilities for design, gaming, architecture and virtual reality. Main Tools Spline AI €0-€19/month Web platform for the generation of 3D models from textual prompts, with focus on design and interactive 3D interfaces. • Generation from text • Integrated 3D editor • Export for web Meshy €0-€25/month Tool for generating 3D models, textures and materials from 2D images or textual prompts, with focus on quality. • 2D-3D conversion • Textures and AI materials • Models ready for gaming Luma AI €0-€29/month Platform specializing in the creation of photorealistic 3D models from images and the generation of complete 3D environments. • Nerf (Neural Radiance Fields) • 3D reconstruction from photos • Immersive 3D environments Kaedim €15-€49/month Professional tool for converting concept art and 2D images into detailed, gaming-optimized 3D models. • 3D models from a single image • Ottimizzazione per game engine • Topology control Masterpiece Studio €25-€99/month Complete suite for the creation, animation and rigging of 3D characters with artificial intelligence, designed for VR and gaming. • Generation of characters • Auto-rigging and animation • Export for Unity/Unreal Point-E (OpenAI) Open Source Open source model for the generation of 3D point clouds from textual prompts, basis for many other 3D generation tools. • Fast generation • Integrable in other tools • Customizable Main Capabilities Generation from text Create complete 3D models from detailed textual descriptions, with control over style and features. 2D-3D conversion Transformation of images, sketches or concept art into three-dimensional models with textures and materials. Automatic Optimization Polygon reduction, UV and texture optimization, and preparation for real-time use in games or VR. Rigging and Animation Automatic creation of skeletons and animation systems for 3D characters and objects. Interface of an AI-based 3D modelling tool showing the generation of a complex model 3D Creation Workflow with AI 1 Conceptualisation and Prompt Definition of the idea and creation of a detailed prompt or preparation of reference image. 2 Generation Base Creation of the initial 3D model through AI, with iterations to perfect the result. 3 Refinement and details Optimization of geometry, adding details, creating textures and materials. 4 Preparation for use Final optimization, rigging if necessary, and export in the appropriate format for the target application. Main Applications Video game development Quickly create 3D assets, characters, environments and props for games and interactive experiences. Product Design Virtual prototyping of products, packaging and physical objects before production. Architecture and Interior Visualization of buildings, interior spaces and furniture with photorealistic details. Virtual and augmented reality Creating immersive environments, interactive objects and experiences for VR/AR.

AI Workflow and Integration: Overview The integration of artificial intelligence in the creative process requires a strategic rethinking of the workflow , not a simple replacement of tools. An effective approach combines unique AI capabilities (speed, pattern analysis, generation of variants) with distinctive human qualities (intuition, aesthetic judgment, critical thinking). Integration Approaches Assistance Approach AI supports human creativity as an advanced tool, providing suggestions, automating repetitive tasks and amplifying existing capabilities, but the final decisions remain human. Collaborative Approach AI works as a creative partner, actively contributing to the process with original ideas and solutions, in a continuous dialogue with the human creative that guides and perfects. Generative-curative approach AI generates multiple creative options that the human professional selects, modifies and perfects, exploiting the ability of AI to quickly explore the space of possibilities. Augmentative approach AI extends human creative capabilities, allowing you to work at scale, complexity or in previously inaccessible domains, opening up new expressive frontiers. Main Benefits Acceleration of the process Up to 70% reduction in production time for repetitive and technical tasks. Expanded Creative Exploration Ability to explore 10-100x more variations and creative directions. Content Scalability Ability to produce and customize content for different channels and audiences. Focus on Added Value Freeing up creative time for strategic, high-impact activities. Representation of the creative workflow with the integration of artificial intelligence in the different stages of the process Creative AI Workflow Cycle 1 Definition of objectives and briefing 2 Generating Ideas and Concepts with AI 3 Selection and Human Improvement 4 AI Assisted Production 5 Human Review and Feedback 6 Optimisation and finalisation

Man-Machine Collaboration Models Collaboration between human creatives and artificial intelligence can assume different forms and dynamics each with specific Advantages and limitations. The choice of the most suitable model depends on context, the objectives of the project and the team’s skills creative. Main Models of Collaboration 1. Sequential model (Human AI Human) The human creative defines inputs and parameters, the AI generates content, the human selects, perfects and finalizes the results. Benefits Human control over input and output Easy to implement Clear division of roles Limitations Limited interaction Less iterative Reduced creative potential 2. Iterative Model (Human ↔ AI) Continuous dialogue between human and AI, with feedback cycles and progressive refinement, in which both contribute actively to the creative process. Benefits Greater creative exploration Mutual learning More refined results Limitations Takes more time Greater complexity Needs advanced skills 3. Parallel model (Human + AI) Human and AI work simultaneously on different aspects of the project, with the human focusing on strategic elements and the IA on technical or repetitive ones. Benefits Maximum efficiency Specialization of roles Scalability of projects Limitations Requires coordination Potential inconsistencies More complex workflow 4. Augmentative model (Human+) AI works as an extension of human creative abilities, enhancing and amplifying the skills of the creative without replacing them. Benefits Maximum synergy Creative empowerment New ways of expression Limitations Steep learning curve Requires advanced tools Blurred role boundaries Man-AI collaboration framework for creative workplaces, illustrating different ways of interaction and cooperation Effectiveness of Collaborative Models by Objective Comparison of the effectiveness of different collaboration models according to the objectives of the creative project

Integration of AI into existing workflow Integrating AI into existing creative workflows requires a Step-by-step and strategic approach , which complies with established processes and the skills of the team. The goal is not to replace the workflow current, but to enhance it by identifying optimal entry points to maximise benefits and minimise disruption. Integration Strategies 1 Analysis of the existing workflow Map the current creative process, identifying phases, tools, roles and responsibilities. Identify bottlenecks, repetitive tasks and areas that require more time or resources. 2 Modular integration Introduce AI in specific modules of the workflow, starting from the areas with lower risk and greater potential for improvement. Avoid radical changes which could destabilise the process. 3 Parallel approach Keep both traditional and AI-powered workflows active, allowing the team to experiment and compare results. Gradually shift more activities to the AI-assisted process. 4 Training and Involvement Involve the creative team at an early stage by providing appropriate training and collecting feedback. Value human experience and present AI as a tool for empowerment, not substitution. Guiding principles Added Value Each AI integration must bring measurable value in terms of time, quality or creative possibilities. Human Control Always maintain human control over fundamental creative decisions and artistic direction. Flexibility Design integration to be adaptable to different projects and work styles of the team. Iteration Continued Constantly review and refine the integration based on feedback and results obtained. Diagram illustrating the integration points of AI in different stages of the creative process Example of Integrated Workflow Briefing and Strategy Conception and concept Production Review and feedback Further training Final delivery IA: Brief Analysis and Research AI: Generation Variants AI: Automation and Scaling IA: Analysis Feedback IA: Optimisation IA: Adaptation Formats Case Study: Design studio International Creative Studio It integrated AI tools into the branding workflow while maintaining the existing creative process, but inserting AI at strategic points: initial search, generation of logo variants, quick mockups and adaptation of the brand on different media. Results: 40% reduction in production time, 35% increase in the number of variants explored while maintaining creative control and the distinctive identity of the studio.

Automation of Repetitive Tasks Artificial intelligence excels in automation of repetitive activities and low added value , freeing up time and mental resources of creatives to focus on strategic and high impact aspects of creative process. Identifying and automating these activities is a Critical first step for AI integration. Automated activities Processing and formatting Resize, crop and format images for different channels and platforms. Conversion between file formats. Optimization for web and mobile devices. Research and Organization Search for visual references and inspiration. Automatic categorization and tagging of assets. Organization of content and resource libraries. Adjustments and corrections Removal of unwanted elements. Colour and lighting correction. Improved quality and sharpness. Restoration of damaged images. Localization and adaptation Translation and adaptation of content for different markets. Generation of variants for A/B testing. Customization for different audience segments. Generation of Variants Creating multiple versions of a design. Exploration of color, layout and style alternatives. Generation of mockups and rapid prototypes. Documentation and reporting Generation of technical documentation. Creation of project reports. Compilation of specifications and guidelines. Archiving and cataloguing. Measurable benefits Time saving Up to 70% less time spent on repetitive tasks, resulting in faster project delivery times. Reduction of costs Operating costs are reduced by up to 40% thanks to the optimization of resources and reduction of manual hours. Greater consistency Increased consistency and quality of results, with a reduction in human errors and inconsistencies. Representation of the integration of AI in the creative process for automation of repetitive tasks Time Saved by Activity Category Implementation in 4 Phases 1 Audit and Mapping of Activities 2 Selection of Appropriate AI Tools 3 Configuration and integration into the workflow 4 Continuous monitoring and optimization

Optimization of time and resources The integration of AI in the creative process allows optimize significantly time and resources , increasing efficiency without compromise the quality. Through targeted strategies and metrics clear, you can quantify the benefits and refine Continuous implementation. Optimization strategies 1 Predictive Time Analysis Use AI to analyze historical project data and predict more accurately the time required for different phases, improving planning and reducing delays. 2 Intelligent Resource Allocation Implement optimization algorithms that suggest the best allocation of human and technological resources based on project-specific skills, availability and requirements. 3 Parallelization of processes Leverage AI to simultaneously perform tasks that would traditionally be performed sequentially, speeding up the overall workflow without compromising process integrity. 4 Continuous Data-Driven Optimization Implement a monitoring system that collects data on workflow efficiency and uses machine learning algorithms to suggest incremental improvements over time. Key Performance Metrics (KPI) Time-to-Market Time needed to go from ideation to publication of a creative project. -35% Cost per deliverable Total cost (human and technological resources) per unit of creative output. -40% Rate of iteration Number of review cycles required before final approval. -50% Production capacity Volume of creative output produced per unit of time and resources. +120% Visualization of creative workflow optimization through AI integration Impact of AI on production times Comparison of production times between traditional workflow and AI-powered workflow Indicators of Efficiency 3.2x Speed of production 68% Reduction of administrative time 45% Reduction of operating costs 85% Accuracy Forecasting Timing Creative Agency Case Study Digital Marketing Agency It has implemented an AI-based optimization system that analyzes historical project data, predicts the time required for different phases and suggests the best allocation of resources. Results: 42% reduction in delivery times, 35% increase in production capacity, 28% improvement in the accuracy of budget and time estimates.

Measuring the Impact of AI To effectively assess the impact of AI integration in creative process, it is essential to establish clear metrics and KPIs that quantifying the benefits and identifying areas of improvement. Key Metrics Time efficiency Reduction in the time needed to complete creative projects, measured in hours saved or percentage of production time cut. Productivity Increase in the volume of creative output, measured in number of assets produced per unit of time or percentage increase in production capacity. Quality Improvement in the quality of creative results, measured by customer feedback, internal ratings or engagement metrics. AI ROI The return on investment can be calculated by considering the costs of implementing and subscribing to AI tools versus the quantifiable benefits in terms of time saved, productivity increase and quality improvement. Metrics dashboard to measure the impact of AI in the creative process Advanced Metrics Innovation Number of new ideas or concepts generated with the assistance of AI Satisfaction Level of satisfaction of creatives in the use of AI tools Cost per output Reduction of the average cost per creative asset produced Iterations Reduction in the number of revisions required to finalise a project

Best practices and practical tips The adoption of AI in the creative process requires approach Conscious and strategic to maximize benefits and minimize the risks. The best practices represent established guidelines that Help creatives use AI effectively, ethically and sustainably. Fundamental Principles Man-machine balance Maintain a healthy balance between human creativity and AI assistance, using technology as an enabler rather than a substitute. Intentionality Use AI with clear and specific goals, avoiding random or untargeted use that can lead to inconsistent or low quality results. Iteration Continued Adopt an iterative approach, progressively refining the results through feedback and continuous improvement cycles. Benefits of Adoption The implementation of best practices leads to greater efficiency, higher quality of results, creative distinctiveness and reduction of legal and ethical risks associated with the use of AI. Best practices framework for integrating AI into the creative process Factors of success Skills and Training Invest in lifelong learning and AI-specific skills development Quality of Tools Select appropriate AI tools for specific creative needs Structured Process Implement a methodological framework for integrating AI into the workflow Organizational Culture Promoting a culture open to innovation and experimentation

Strategies to Maximize Results To get the most out of AI in the creative process, you need adopt Targeted and informed strategies which will allow fully exploit the potential of the technology, while maintaining at the same time the creative control and distinctiveness of their work. Key Strategies 1 Precise definition of objectives Set clear and specific goals before using AI, defining exactly what you want to achieve and which success parameters to apply. This allows you to guide the AI in the desired direction and evaluate results effectively. 2 Iterative Refinement of Prompts Adopt an iterative approach in the creation of prompts, starting from basic instructions and refining them progressively based on the results obtained. Document effective prompts for reuse in future projects. 3 Combination of complementary tools Use different AI tools in combination, exploiting the strengths of each to compensate for the limitations of the others. For example, use one tool for initial generation and another for refinement. 4 Personalization and post-processing Consider the output of AI as a starting point, not as an end product. Always apply a customization and post-processing phase to add your own distinctive touch and ensure consistency with the brand identity. 5 Creation of reference libraries Build and maintain reference libraries with examples of styles, tones and desired results to use as a guide for AI. This significantly improves the consistency and quality of outputs. Example of Optimized Prompt Prompt for Advertising Image Generation "Create an advertising image for a bottle of premium mineral water in minimalist Scandinavian style. The clear blue glass bottle should be in the center, with water drops that create a freshness effect. Soft side lighting that creates elegant reflections. White background with subtle marble textures. Hyper-realistic photographic style, inspired by the works of Erik Johansson. 16:9 aspect ratio, high resolution, optimized for printing." This prompt is effective because it includes: specific subject, detailed visual style, references to techniques and artists, precise compositional elements, technical specifications and end use. Strategic framework for optimizing results with AI in the creative process Optimized Workflow for Superior Results 1 Research and Inspiration Collect visual, stylistic and conceptual references before you start working with AI to have a clear direction. 2 Exploratory Generation Use broad prompts to explore different creative directions and identify the most promising ones. 3 Targeted Refinement Refine prompts according to the directions you choose, adding specific details and constraints. 4 Curation and Selection Critically evaluate the results according to pre-defined criteria and select the best ones for the next phase. 5 Customisation and finalisation Modify and customize the selected results, adding your own distinctive touch and ensuring consistency. Practical tips Documentation Maintain a detailed log of prompts, parameters and results to build a personal knowledge base. External feedback Collect feedback from colleagues and clients on a regular basis in order to objectively assess the results achieved. Time for reflection Provide breaks between generation and evaluation to maintain a critical perspective on results. Controlled variation Systematically modify one parameter at a time to understand the impact of each variable.

Common Mistakes to Avoid In the enthusiasm to adopt AI in the creative process, it is easy to fall in errors that limit the potential of this technology or compromise the results. Recognizing these common errors is the First step to avoid them and develop a more effective approach; conscious. Critical Errors and Solutions 1 Prompt Vague and Generic Use too generic or ambiguous prompts that do not provide the IA with sufficient indications to generate results aligned with expectations. This leads to inconsistent outputs and an endless cycle of random attempts. Solution: Develop detailed and specific prompts, including style, context, Visual references, technical parameters and intended end use. 2 Excessive dependence on AI Relying completely on AI without making personal creative contributions, resulting in generic and undifferentiated work that does not reflect the unique vision or style of the creative. Solution: Using AI as a tool for assistance and empowerment; maintaining creative control and always making changes and customization to the outputs generated. 3 Ignore Technical Limitations Not understanding the inherent limitations of the AI tools used, leading to frustration and unrealistic expectations when AI fails to produce exactly what you want. Solution: Study the specific capabilities and limitations of each AI tool, Adapting requests accordingly and using complementary tools when necessary. 4 Neglecting ethical and legal issues Use AI without considering the ethical and legal implications, such as copyright, privacy, bias and representation, exposing yourself to reputational and legal risks. Solution: Develop an in-depth understanding of ethical issues and legal issues related to creative AI, implementing clear guidelines for use responsible. 5 "One-Shot" approach without iteration Expect perfect results from the first attempt, without spending time on iteration and refinement, leading to poor results and inefficient use of technology. Solution: Adopt an iterative approach, considering the first results as the starting point for a process of progressive improvement. Visual representation of common errors in the use of AI in the creative process Comparison: Problematic vs. Effective Approach Appearance Problem Approach Effective approach Prompt "Create a company logo" "Create a minimalist logo for a cybersecurity tech company, with elements that suggest security and innovation, in blue and grey." Iteration Accept the first result Feedback and improvement cycles Control Full delegation to IA Human-machine collaboration Expectations Perfect immediate results Gradual process of improvement Verification checklist Are my prompts sufficiently detailed and specific, including style, context and technical parameters? Am I keeping creative control and making personal changes to AI output? Have I verified the ethical and legal implications of using AI for this specific project? Am I taking an iterative approach, gradually refining the results? Have I considered the technical limitations of the AI tools I am using?

Choosing the right tools The selection of AI tools best suited to your needs creative is Key to maximising results and optimize the workflow. An informed choice is based on objective criteria and a clear understanding of their specific needs. Selection criteria Objectives of the project Assess whether the tool is able to produce results aligned with the specific objectives of the project, considering required style, tone, format and quality. Level of Control Consider the degree of control offered by the tool, from the customization of parameters to the possibility of manual intervention on the results generated. Learning Curve Assess the time and effort required to master the tool, considering one’s previous experience and the availability of training resources. Integration in the workflow Check compatibility with existing tools and ease of integration into current workflow, considering supported formats and available APIs. Costs and ROI Analyse the cost-benefit ratio, taking into account not only the subscription price but also the time saved and added value generated. Legal and ethical aspects Verify your licenses, rights to generated content and privacy policies, ensuring that the tool complies with ethical and legal standards. Key Questions from Porsi What specific results do I want to achieve and which tools are specialised in that area? How much creative control do I need to maintain during the process? Does the tool integrate easily with my existing workflow and other tools I use? What are the terms of service and licenses for content generated with this tool? Overview of AI tools available for different creative sectors Decision Matrix for the Choice of Instruments Advanced generative tools They offer the highest quality and control, require advanced skills and significant investment. Es: Midjourney, DALL-E 3, Stable Diffusion XL Specialized Tools Focused on specific niches, they offer advanced features for special needs. Es: RunwayML, Topaz Photo AI, Descript Strumenti All-in-One Integrated platforms offering different functionalities in a single environment, with good quality/ease balance. Ex: Canva AI, Adobe Creative Cloud with Firefly Entry-Level Tools Easy to use, affordable, ideal for beginners or simple projects. Es: Simplified AI, Craiyon, Kaiber Quick comparison by category Category Control Ease Cost Generation of images Photo editing Video and Animation Copywriting

Ethical and Legal Considerations Using AI in the creative process raises important issues ethical and legal which must be approached with awareness and responsibility. Understanding these implications is essential for a sustainable and respectful use of technology. Main issues Copyright and Intellectual Property Uncertainties about the ownership of rights to AI-generated content, copyright issues on training data and potential existing intellectual property infringements. Privacy and Data Protection Concerns about the handling of personal data used to train AI models, the security of information uploaded and informed consent. Bias and representation Risk of perpetuating or amplifying social, cultural or gender bias present in training data, resulting in problematic or discriminatory representations. Transparency and attribution Need for transparency on the use of AI in the creative process, attribution issues and potential implications for the authenticity and integrity of creative work. Terms of Service and Licenses Variability in terms of service between different AI tools, with significant implications for commercial usage rights, content ownership and use restrictions. Social and Environmental Impact Considerations on the environmental impact of training and use of AI models, the implications for the creative labour market and long-term sustainability. Guidelines for Responsible Use 1 Learn and train: Keep up to date on ethical and legal issues to creative AI, following the regulatory evolution and best practices of the sector. 2 Check the Terms of Service: Read and understand the terms of service of the AI tools used, paying particular attention to clauses relating to intellectual property and commercial use. 3 Transparency and Disclosure: Be transparent about the use of AI in the process creatively, appropriately publicising the role of technology in of the content. 4 Human Review and Supervision: Always maintain human supervision of AI-generated content, checking for potential biases, problems with representation or infringement of rights. 5 Documentation and traceability: Documenting the creative process, including the use of IA, to ensure traceability and transparency in case of disputes or Need for clarification. Ethical and legal issues are key to responsible use of AI in the creative process Ethical Framework for Creative AI Responsibility Take responsibility for the creations generated with AI, recognizing your role of supervision and creative direction. Equity Commit to a fair use of AI that does not perpetuate discrimination or problematic representations of groups or individuals. Transparency Communicate openly the use of AI in the creative process, avoiding presenting generated content as entirely human. Sustainability Consider the environmental and social impact of AI use, prioritising approaches that minimize negative externalities. Useful Resources Resource Description EU Guidelines on AI European framework for reliable AI, with ethical principles and technical requirements Creative Commons Information on licensing and copyright in the digital age Partnership on AI Organisation developing best practices for responsible AI AI Ethics Guidelines Global Inventory Collection of AI ethical guidelines from around the world Compliance checklist Have I verified the terms of service and licenses for the AI tools I use? Am I transparent about the use of AI in my creative process? Have I implemented a review process to identify potential bias or ethical issues? Do I keep proper documentation of my creative process with AI?

The Future of AI in Creative Artificial intelligence is evolving rapidly, opening new Horizons for the creative and redefining the sector landscape. Understanding emerging trends and future prospects is essential to prepare for the opportunities and challenges await. Emerging Trends Framework IA Unificati Evolution towards integrated platforms that combine multiple creative capabilities (images, video, audio, text) in a single work environment, facilitating more fluid and consistent workflows. AI Multimodal Advanced Systems that understand and generate content through different modes (text, images, audio, video) simultaneously, creating richer and more contextualized experiences. Deep Customization AI tools that adapt to the individual stylistic preferences of the creative, learning from his previous work and developing a shared "visual language". Man-AI Symbiotic Collaboration Evolution towards a co-creation model where AI anticipates the intentions of the creative, suggests alternatives and adapts in real time to feedback, creating a true creative dialogue. On-Device and Decentralized AI Moving to lighter AI models that work directly on local devices, ensuring privacy, speed and offline access to advanced creative capabilities. Authenticity and digital provenance Development of standards and technologies to trace the origin and authenticity of AI-generated content, addressing ethical and legal challenges related to intellectual property. Key Statistics 2025 89% designers say AI has improved their creative workflow 40% employers plan to reduce the workforce where AI can automate tasks 66% creative professionals using generative AI claim to produce higher quality content The evolution of AI is redefining the creative landscape, offering new possibilities and challenges for professionals in the field. Expected Evolution of Creative AI 25 2025-2026: Integration and Specialization Consolidation of AI tools into integrated suites, specialization for creative niches, mainstream adoption in professional workflows. 27 2027-2028: Advanced Collaboration AI systems that learn the personal style of the creative, advanced conversational interfaces, real-time co-creation with continuous feedback. 29 2029-2030: Increased Creativity Direct neural interfaces, immersive co-creation experiences, AI systems involving complex cultural contexts and emotional nuances. 30+ Beyond 2030: New Creative Paradigms Emergence of completely new art forms made possible by man-AI symbiosis, redefinition of concepts of creativity and authorship.

Emerging trends and new technologies The technological landscape of creative AI is changing rapidly, with disruptive innovations that are emerging and redefining the creative possibilities. We explore the most promising technologies that will shape the future of the sector. Emerging Technologies New Generation Multimodal Models AI systems that seamlessly integrate text, images, audio and video into a single model, allowing smooth transitions between different creative modes and deeper contextual understanding. Emerging Adaptive Neural Personalization Algorithms that learn the creative’s personal style through neural analysis of his portfolio, dynamically adapting to his aesthetic preferences and creative process. Experimental Hybrid Generative Architectures Combining different AI architectures (diffusion models, transformers, GANs) into hybrid systems that exploit the strengths of each technology for superior creative results. Emerging Creative Conversational Interfaces Specialized AI assistants who understand the creative and technical language of the industry, allowing natural and collaborative interactions during the creative process. Mainstream Immersive Creative Environments AI-powered virtual spaces where creatives can manipulate multimedia content with natural gestures and tactile feedback, creating an immersive co-creation experience. Experimental Decentralized AI models Distributed AI architectures that run on peer-to-peer networks, enabling decentralized creative collaboration, shared model ownership and greater privacy. Future New AI technologies are opening up unprecedented creative possibilities, combining different modes and approaches into increasingly sophisticated systems. Maturity of Creative AI Technologies Positioning key creative AI technologies along the technology maturity curve, 2025 to 2030. Comparison of Emerging Technologies Technology Creative Impact Accessibility Maturity Multimodal Models Neural Personalization Conversational Interfaces Immersive Environments

Impact on the Creative Labour Market The evolution of AI is profoundly transforming the creative work, Redefining existing roles and creating new Vocational opportunities. Understanding these changes is essential to adapt and thrive in the new landscape. New Emerging Roles Prompt Engineer Creativo Specialist in creating effective prompts for generative AI systems, with deep understanding of the linguistic and visual nuances needed to achieve specific creative results. Curator of AI Output Professional who selects, perfects and integrates AI-generated content into the creative workflow, ensuring stylistic consistency and high quality in the final results. Architect of AI Workflow Expert who designs and optimizes creative pipelines that integrate AI tools with traditional processes, maximizing efficiency and quality in complex creative projects. Trainer of Creative Models Specialist who trains and customizes AI models for specific creative applications, creating tailor-made solutions for creative studios and art departments. Key Skills for the Future Critical thought and creative direction Ability to critically evaluate AI output, provide meaningful feedback and guide the creative process towards original and valuable results. Technical Literacy Understanding of the fundamental principles of AI, ability to interact with APIs and technical tools, and ability to customize AI solutions for specific needs. Integration and orchestration Ability to effectively combine different AI tools into consistent workflows, orchestrating the smooth transition between automated creative steps and human intervention. Man-machine collaboration Ability to work effectively with AI assistants, understanding the strengths and limitations of both to create productive creative partnerships. AI integration is transforming the creative job market, creating new career opportunities and requiring new skills. Impact of AI on Creative Roles Predicting the impact of AI on different creative roles by 2030, according to the World Economic Forum’s Future of Jobs Report 2025.

Opportunities and challenges ahead The evolution of AI in the creative sector presents a panorama of exciting opportunities and significant challenges that the professionals creatives will have to face in the coming years. Key Opportunities Creative Democratization Access to advanced tools for a wider audience, breaking down technical and financial barriers to the creation of professional quality content. Expansion of Creative Boundaries Possibility to explore new expressive forms and artistic styles, overcoming the limits of traditional techniques and opening new creative horizons. Speeding up the creative process Drastic reduction of production time for technical and repetitive tasks, allowing creatives to focus on conceptual and strategic aspects. Challenges to be faced Intellectual Property Issues Legal uncertainties about ownership of AI-generated content and potential copyright violations in training data. Authenticity and originality Difficulties in distinguishing between AI-generated content and human creations, with implications for the perceived value of creative work. Adaptation of skills Need to continuously update skills in order to remain relevant in a rapidly changing technological market. The future of AI in the creative industry presents a balance of exciting opportunities and significant challenges that will require adaptation and innovation. Perception of AI among Creatives Evolution of AI perception among creative professionals from 2020 to 2025, based on industry surveys.

Preparing for the Future of Creative AI To thrive in the creative AI era, professionals must adopt a strategic approach the adoption of new technologies with the development of distinctly human skills. Key Strategies Continuous learning Spend regular time exploring new AI tools, taking specialized online courses and participating in hands-on workshops to stay up to date with the latest technologies. Developing the Creative Voice Cultivate a distinctive style and personal vision that goes beyond what AI can replicate, focusing on unique perspectives and authentic narratives. Interdisciplinary collaboration Form partnerships with professionals from different disciplines to create projects that combine technical, artistic and strategic expertise in innovative ways. Constant Experimentation Spend time experimenting with new tools and approaches, creating a portfolio of personal projects that demonstrate versatility and innovation. Resources for the Update Training Platforms Coursera, Udemy, LinkedIn Learning offer specific courses on creative AI and integration into the professional workflow. Community and Forum Midjourney Discord, r/StableDiffusion, AI Artists Network to share experiences and best practices. Final Reflection The future belongs to creatives who embrace AI as a partner, not a substitute, combining the best of technology with the uniqueness of human vision to create works that resonate emotionally and culturally. Creatives who can strategically integrate AI into their work process will be able to thrive in the creative ecosystem of the future. Roadmap for AI Adoption 1 Exploration 2 Integration 3 Optimization 4 Innovation Key skills for creatives in the AI era: a balance between technical, creative and strategic capabilities.

Introduction to ChatGPT 4.0 with DALL-E ChatGPT 4.0 represents a significant advance in conversational artificial intelligence, natively integrating the capacities of generation of DALL-E images . This Integration transforms ChatGPT from text assistant to powerful Multimodal creative tool. Main Features Integrated Image Generation Create images directly within the conversation, without having to switch to other tools. Contextual Understanding Ability to generate images that reflect the context of the current conversation, maintaining thematic coherence. Iterative Refinement Ability to modify and refine images generated through conversational feedback. Impact on Creatives The integration of DALL-E into ChatGPT 4.0 offers creatives an assistant that not only understands their textual ideas, but can also view them instantly, speeding up the process of ideation and prototyping. The interface of ChatGPT 4.0 with the integration of DALL-E allows to generate images directly within the conversation.

Main Interface and Functionalities The ChatGPT 4.0 interface is designed to make the generation of images intuitive and accessible , complementing it perfectly in the conversational experience. How to navigate and use the main features. Elements of the Interface Area of Conversation The main space where textual interaction takes place and where generated images are displayed. Generation Controls Options to specify the size, style and other features of the images to be generated. Gallery of Variations Display multiple variations of the generated image to choose the preferred one. Quick Commands "/image [description]" - Generate an image from the description "/edit [instructions]" - Edit the last generated image "/variations" - Create variations of the last image The ChatGPT 4.0 user interface shows controls for generating images and displaying results within the conversation. Exclusive Features Generation of text in images with high precision Understanding and reproducing complex layouts Contextual memory between successive generations

Writing Effective Image Prompts The quality of images generated by DALL-E in ChatGPT 4.0 strongly depends on the precision and richness of prompts . Learning to write effective prompts is essential for achieving results matching your creative vision. Fundamental Principles Be specific and detailed Include details about the subject, setting, lighting, art style, perspective and desired atmosphere. Hierarchical structure Organize the prompt starting from the main elements and then add details and stylistic modifiers. Use visual references Mention artists, artistic movements or famous works to guide the style of the image generated. Example of Effective Prompt "A close-up photographic portrait of a young artist in his studio, surrounded by colored brushes and canvases, illuminated by the warm light of the sunset that filters through large windows. Cinematic style, shallow depth of field, vibrant but natural colors, inspired by the photographs of Annie Leibovitz." Examples of effective prompts and related images generated by DALL-E in ChatGPT 4.0. Elements to be included in Prompts Technical Photography, illustration, oil painting, watercolor, pixel art Lighting Natural light, backlight, chiaroscuro, diffused light, golden hour Palette Colours Vibrant, pastel, monochrome, complementary, analog Perspective From above, from below, close-up, wide angle, isometric

Advanced Prompt Engineering Techniques Once you have mastered the basic principles, you can use advanced prompt engineering techniques to get results Even more precise and creative with DALL-E in ChatGPT 4.0. Advanced Strategies Concatenated Prompt Use a series of related prompts to build a complex image in successive stages, perfecting each element. Weights and Priorities Emphasize certain elements with repetitions or strategic positioning in the prompt to increase their importance. Negative Prompt Explicitly specify what you do NOT want in the image to avoid unwanted elements. Example of Advanced Prompt "Create a Japanese ukiyo-e style illustration of a futuristic cityscape. Emphasis on: organic architecture, integrated vegetation, sustainable technology. Predominant colours: blue and green. Avoid: flying vehicles, humanoid robots, dystopian elements. Inspired by the works of Hokusai but with contemporary design elements." Examples of advanced prompt engineering techniques and the results obtained with DALL-E in ChatGPT 4.0. Techniques of further training Guided Iteration After the first generation, analyze the result and create a new prompt that specifies precise changes: "Keep the composition but increase the contrast and add more detail in the central area." Combination of styles Use formulas like "X meets Y" or "in the style of X but with elements of Y" to create unique stylistic fusions: "Portrait in Renaissance style but with elements of cyberpunk."

Edit and Delete Generate Images One of the most powerful features in ChatGPT 4.0 is the capacity of iteratively modify and refine the images generate, allowing precise and refined creative control. Methods of Editing Direct Edit Use the command "/edit" followed by specific instructions to change elements of the last generated image. Generation of Variants Create multiple versions of the same image with small variations to choose the best one. Selective Change Specify specific areas of the image to be edited while keeping the rest unchanged. Example of Iteration 1st Generation: "A cat on a sofa" 1° Change: "Change the color of the cat to orange" 2° Change: "Add colorful cushions on the sofa" 3° Change: "Change the lighting to make it warmer" Useful Edit Commands Edit Colors "Change the color of [element] to [new color]" Add Elements "Add [new item] in the part [position]" Remove Items "Remove [element] from the image" Edit Atmosphere "Make the atmosphere more [adjective: dramatic, serene, energetic]"

Integration in the Creative Workflow ChatGPT 4.0 with DALL-E can be effectively integrated into the daily creative workflow , becoming a valuable assistant in each step of the process, from conception to final implementation. Stages of Integration Ideation and Brainstorming Use ChatGPT to generate initial ideas and DALL-E to display them quickly, exploring different creative directions. Concept and prototyping Create moodboards, drafts and visual concepts for presentations, pitches or internal approvals. Production and improvement Generate high quality visual assets to be used as a basis for final production or reference for other tools. Hybrid Workflow The most effective workflow is often hybrid: use ChatGPT+DALL-E for ideation and rapid prototyping, then switch to specialized tools (Photoshop, Illustrator, etc.) for finishing and final production. Use Cases by Sector Advertising Generation of visual concepts for campaigns, ad mockups, creative variants Publishing Illustrations for books, covers, infographics, promotional material Cinema Concept art, storyboard, character design, settings E-commerce Product display, mockup packaging, promotional banners

Use Cases for Creative Visual Visual creatives can leverage ChatGPT 4.0 with DALL-E in Numerous practical applications , from concept art to graphic design, accelerating the creative process and exploring new possibilities expressive. Main Applications Concept Art and Illustration Rapid concept creation for characters, settings, fantastic creatures and scenarios for video games, movies and books. Graphic Design and Branding Generation of visual elements for logos, packaging, posters, brochures and marketing materials. Conceptual Photography Creation of photographic images impossible to realize physically, for artistic portfolios or commercial projects. Creative Acceleration ChatGPT+DALL-E allows you to go from idea to visualization in minutes, dramatically reducing prototyping time and allowing you to explore many more creative variations. Practical Examples Game Design Concept of characters, weapons, vehicles and environments for indie or AAA video games Fashion Design Display of clothing, textile patterns, accessories and collections Interior Design Concept of environments, mood boards, display of furniture and decorations Education Educational illustrations, infographics, customized educational materials

Use Cases for Content Creator Content creators can use ChatGPT 4.0 with DALL-E for Create compelling visual content for social media, blogs, newsletters and other platforms, increasing engagement and Reducing production times. Social Media Applications Post and Caroselli Creating coordinated images for single posts or thematic carousels with consistent visual style. Stories and Reels Generation of backgrounds, graphic overlays and templates for dynamic vertical content. Announcements and Promotions Creation of advertising banners, special offers and promotional ads with integrated call-to-action. Content Planning Use ChatGPT to plan a complete editorial calendar and DALL-E to generate all the necessary visual assets in advance, while maintaining stylistic and thematic consistency. Other Use Cases Blog and Articles Cover images, in-line illustrations, explanatory infographics Newsletter Custom headers, thematic separators, visual call-to-action Podcast Cover art, audiograms, promotional images for episodes YouTube Thumbnail accattivanti, end screen, banner per community tab

Limits and ethical considerations Despite the powerful capabilities of ChatGPT 4.0 with DALL-E, it is important to be aware of your technical limits and ethical implications for responsible and sustainable use. Technical limits Accuracy of details Difficulty in handling very specific details, such as readable text or complex anatomical elements. Coherence between Generations Challenges in maintaining stylistic and character coherence between images generated in different sessions. Content Limitations Restrictions on the generation of sensitive, violent, explicit or potentially harmful content. Transparency It is important to clearly communicate when content has been generated or assisted by AI, especially in professional or commercial contexts, to maintain public trust. Ethical considerations are key to responsible use of generative AI in the creative sector. Ethical considerations Copyright and Intellectual Property Legal issues regarding ownership of generated images, copyright of training data and attribution. Bias and representation Potential bias in training data that can lead to stereotyped or not inclusive representations of cultures, genders and ethnicities. Impact on Creative Work Considerations on the economic and professional impact on human creatives and on the evolution of the creative labour market.

Resources and Tips to Deepen To continue your journey with ChatGPT 4.0 and DALL-E, here is a selection of Useful resources and practical tips to deepen your keep up to date with the latest developments. Online Resources Official Documentation The OpenAI documentation on ChatGPT and DALL-E, with detailed guides, examples and best practices. Tutorials and courses Platforms like Udemy, Coursera and YouTube offer specific courses on the creative use of generative AI. Community and Forum Reddit groups, Discord and specialized forums where to share experiences, prompt and results with other creatives. Main Council Constant practice is key: regularly spend time experimenting with different prompts and techniques, keeping a personal archive of the best results and most effective prompts. Practical tips Create a Prompt Journal Keep a log of the most effective prompts, noting what works and what doesn’t to improve over time. Develop a Personal Workflow Create a standardized work process that integrates ChatGPT and DALL-E with your usual creative tools. Regularly updated Follow specialized blogs and newsletters to keep up with updates and new features. Share and collaborate Actively participate in online communities, sharing your achievements and learning from others' experiences.

Introduction to Manus Manus is an advanced autonomous AI assistant designed for creatives who want to automate and enhance their workflows. Unlike other AI tools, Manus can complete tasks complex in an independent way, coordinating different tools and platforms. Main Features Operational autonomy Can complete entire projects without constant supervision, making intelligent decisions along the way. Integration of Multi-Tool Coordinate multiple creative tools, browsers, code editors and platforms into a single workflow. Advanced Research and Analysis Gathers, analyzes and synthesizes information from different sources to support informed creative decisions. Key Advantage Manus turns creatives into "creative directors" who define the vision while AI manages technical execution, multiplying productivity without sacrificing quality. The Manus interface shows its ability to manage complex tasks autonomously and in a coordinated manner. Benefits for Creatives Time saving Automate repetitive and time-consuming tasks Scalability Manages projects of any size Creative Focus Free time for strategic creative activities Constant Quality Maintains high standards in every project

Main Interface and Functionalities The Manus interface is designed to be intuitive and powerful , allowing creatives to communicate naturally with the assistant IA and easily monitor the status of ongoing projects. Elements of the Interface Area of Conversation Natural chat interface where you can communicate with Manus, give instructions and receive updates in real time. Control Panel Dashboard to monitor project status, view results and access advanced features. Integrated Tools Direct access to browsers, code editors, search tools and multimedia content generation. Natural Interaction Manus includes instructions in natural language, allowing you to communicate as with a human collaborator. There is no need to learn specific commands or complex syntax. The interface of Manus with the main elements highlighted: conversation area, control panel and integrated tools. Key Features Autonomous Planning Create and update project plans based on objectives Web browsing Search, analyze and interact with online content Development Code Writes, tests and optimizes code for creative projects Generation Media Create images, videos and audio on demand

Operational autonomy of Manus One of the most revolutionary features of Manus is its operational autonomy , which allows him to complete complex tasks without constant supervision, making intelligent decisions during the execution. How Autonomy Works Dynamic Planning Manus automatically creates and updates project plans, breaking down complex tasks into manageable phases and adapting to new information. Reflective Reasoning Constantly assess their progress, identify obstacles and adapt strategies to overcome them without human intervention. Feedback Cycle Monitor the results of your actions, learn from mistakes and refine your approach in real time to improve outcomes. Human Supervision Despite the autonomy, Manus keeps the human "in the loop" with regular updates and key control points, allowing you to intervene when necessary to guide the creative direction. The Manus operational autonomy cycle: planning, execution, monitoring and adaptation. Examples of Autonomous Tasks Market Research and Analysis Manus can conduct in-depth research on trends, competitors and audiences, synthesizing the results into structured reports without supervision. Full Web Development Can design, develop and test a complete website, independently solving code problems and optimizing performance. Creation of multimedia content It can generate series of visual content coordinated for social campaigns, adapting style and format to different platforms.

Integration of Multi-Tool Manus excels in coordination of different tools and platforms in a single integrated workflow, eliminating the the need to continuously switch between different applications and Automating data transfer. Integrated Tools Browser and Search Browse the web, perform advanced searches, analyze online content and interact with websites and web applications. Code Editor and Shell Writes, modifies and executes code in various programming languages, manages files and system commands. Creative Tools Generate and edit images, video and audio, creating high-quality multimedia content for creative projects. Uninterrupted flow Manus eliminates "friction points" between different instruments, allowing a continuous workflow where the results of one instrument are automatically used as input for the next. Benefits of Integration Efficiency Dramatically reduces changeover times between different instruments Precision Eliminates transcription and data transfer errors Scalability Manages projects of any size and complexity Synergy Combines the potential of different tools for superior results

Advanced Research and Analysis Manus has the ability to Advanced research and analysis that he to collect, analyse and synthesise information from different sources, turning raw data into strategic insights for creative. Research Capacity Multi-source search Searches the web, academic databases, images and specialized APIs simultaneously for complete information. Intelligent Filtering Automatically identifies and selects the most relevant and reliable information, eliminating duplicate or low quality content. Analysis and Synthesis Process and synthesize large volumes of data into structured reports, identifying relevant patterns, trends and insights. Insight Actionable Manus does not just gather information, but turns it into concrete and actionable recommendations, supporting informed and strategic creative decisions. Manus' research and analysis process: from raw data collection to the generation of strategic insights. Applications for Creatives Market Analysis and Trends Identifies emerging trends, audience preferences and market opportunities to guide creative direction. Analysis of competition Examines creative strategies of competitors, identifying gaps and opportunities for differentiation. Creative Reference Search Collects and organizes visual, stylistic and conceptual references to inspire and inform the creative process.

Creative Content Generation Manus excels in generation of creative content of high quality, Combining contextual understanding, adaptability stylistics and narrative coherence to produce text and visual content customized. Types of Content Textual Content Create advertising copy, articles, social media posts, product descriptions and other text content tailored to your brand voice and target audience. Visual content Generate images, graphics, mockups and visualizations based on detailed prompts while maintaining stylistic consistency and brand identity. Multimedia content Create videos, animations and audio content such as podcasts, voice-overs and music jingles for complete creative projects. Advanced Customization Manus can be "trained" on the specific tone and style of a brand, analyzing existing content to replicate and maintain a consistent voice in all new creations. Examples of creative content generated with Manus: coordinated text, images and multimedia. Benefits for Creatives Speed Generate content in a fraction of the traditional time Iteration Create multiple variants to test different creative directions Consistency Maintains consistent style and tone across all channels and formats Scalability Produces large volumes of content without compromising quality

Automation of Creative Workflows Manus excels in the Automation of creative workflows , freeing up the professionals with repetitive and time-consuming activities to focus on the strategic and creative aspects of their work. Automated processes Planning and Scheduling Automate the creation of editorial calendars, campaign planning and social media content scheduling. Adaptation of Content Automatically convert content between different formats and platforms, adapting size, style and tone for each channel. Monitoring and reporting Track performance, gather feedback and generate automated analytics reports to optimize creative strategies. Increase in productivity Automation with Manus can increase creative productivity by up to 300%, drastically reducing the time spent on repetitive tasks and allowing multiple projects to be managed simultaneously. Flowchart that illustrates how Manus automates a complete creative workflow, from planning to publishing. Implementation Strategies Step by step approach Start by automating the most repetitive and time-consuming tasks, gradually expanding the automation to other processes. Creation of Templates Develop reusable templates and workflows for similar projects, accelerating implementation and maintaining consistency. Optimization cycle Implement a continuous feedback and optimization cycle to refine automated workflows over time.

Use Cases for Creatives Manus offers versatile solutions for different creative professionals , Adapting to the specific needs of each sector and type of project. Here are some concrete examples of how it is used in real contexts. For Graphic Designers Research and Moodboard Automatically collects and organizes visual references, design trends and color palettes, creating complete and organized mood boards to inspire the creative process. Multi-format adaptation Automatically adapt design and assets to different platforms and formats, maintaining visual consistency and respecting the technical specifications of each channel. For Content Creator Editorial Planning Generate complete editorial calendars based on trends, competition analysis and engagement goals, with content coordinated across platforms. Performance Analysis Monitor and analyze content performance, generating detailed reports and optimization suggestions based on the collected data. Other Use Cases Videomaker Automate reference search, storyboard creation, transcription and subtitling, and SEO video optimization. Web Designer Generate wireframes, interactive prototypes, responsive code and optimize the user experience with automated tests. Copywriter Conduct market research, generate copy variants for A/B testing, and adapt content to different channels and targets.

Integration with other AI tools Manus excels in the Integration with other specialised AI tools , Acting as a central orchestrator coordinating different systems for Create powerful and customized creative workflows. Main Integrations Visual Generation Tools Integrates with Midjourney, DALL-E, Stable Diffusion and other image generators, orchestrating complex prompts and iterations for optimal results. Suite Creative Interacts with Adobe Creative Cloud, Canva, Figma and other design tools, automating repetitive tasks and facilitating asset transfers. Analysis Tools Connects with analytics platforms, CRM and social listening tools to inform creative decisions based on real data and feedback. API integration Manus offers robust APIs that allow customized connections with any tool or service, enabling fully automated workflows tailored to specific needs. Diagram of the Manus integration ecosystem with other AI tools, showing the flow of data and coordination between different platforms. Benefits of Integration Custom Ecosystem Create a tailor-made system with the best tools for each specific need Data Transfer Eliminates the need for manual transfers between different platforms Specialization Leverage the specialized capabilities of each AI tool in its optimal scope Future-Proof Easily adapt workflow to new emerging tools and technologies

Resources and Tips for Getting Started To start using Manus effectively, here is a selection of Useful resources and practical tips that will help you integrate quickly this powerful tool into your creative workflow. Official Resources Documentation Manus' official documentation offers detailed guides, step-by-step tutorials and comprehensive references for all available features. Academy Manus Academy offers free interactive courses, webinars and certifications for different skill levels and specific creative industries. Community Official forum, Discord groups and social media communities where you can share experiences, ask for support and discover best practices from other users. Main Council Start with simple, well-defined projects, gradually increasing complexity as you become familiar with Manus' capabilities. The learning curve is fast when small incremental steps are taken. The Manus resource page offers tutorials, templates and sample projects to help creatives get started quickly. Practical tips for getting started Start with Template Use the predefined templates for your first projects, gradually modifying them to understand how the different components work. Automate Gradually Identify repetitive tasks in your current workflow and automate them one at a time, starting with the simplest and most time-consuming. Iterative Testing Spend time experimenting with different instructions and approaches, noting what works best for your specific creative goals.

Introduction to Canva Canva is an online graphic design platform that democratizes the creation of visual content, allowing even those who do not have professional design skills to create high-quality graphics for different purposes. Main Features Ease of use Intuitive drag-and-drop interface that does not require advanced technical skills, with a visual editor that shows changes made in real time. Ready to use templates Thousands of professional templates customizable for every need: social media, presentations, posters, flyers, resumes, and much more. Accessibility Cloud Fully cloud-based platform, accessible from any device with a web browser, without the need to install software. Why Use Canva Canva is ideal for creatives who need to produce quality visual content quickly, without the learning curve of professional software like Adobe Creative Suite, but with professional results. Canva’s main interface, with navigation menus and main features highlighted. Key Data Active Users Over 100 million monthly active users in more than 190 countries Bookstore More than 100 million photos, videos, audio and graphics available Template Over 610,000 free and premium templates for every type of project Font More than 3,000 fonts available, with the possibility to upload custom fonts

Interface and navigation Canva’s interface is designed to be intuitive and easy to use navigate , with all essential tools easily accessible. Understanding the structure of the interface is crucial for Use the platform effectively. Main Elements of the Interface Main Dashboard The home page shows recent projects, recommended templates and options to create new designs. From here you can access all the main features. Sidebar Located on the left, it contains the main categories: Template, Elements, Uploads, Text, Styles, Brand Kit, App and more. Each section expands specific options. Area of work The central space where the design is displayed and edited. Includes an optional grid and alignment guides to position items accurately. Keyboard Shortcuts Use keyboard shortcuts to speed up your workflow: Ctrl+C/Ctrl+V to copy/paste, Ctrl+Z to undo, Ctrl+D to duplicate items, and Ctrl+G to group selected items. Canva’s interface with labels indicating the different functional areas and main tools. Other elements of the interface Top Bar Contains file options, sharing, downloads and general project settings Panel Pages Allows you to navigate between the different pages of a multi-page project Zoom controls Tools to zoom in, zoom out or adapt the design to the window Chronology Access change history to undo or redo actions

Template and design ready One of Canva’s greatest strengths is its extensive library of professional templates ready to use , which allow the creation of Quickly design high quality without starting from scratch, Saving time and ensuring professional results. Categories of Templates Social media Posts, stories, covers and banners for all major social platforms, with optimized dimensions and designs adapted to current trends. Presentations Professional slide decks for business, educational or creative presentations, with consistent layouts and smooth transitions between slides. Printable Materials Flyers, brochures, business cards, posters and other printable materials with safety margins and specifications for professional printing. Find the right template Use the search bar with specific keywords or browse by categories. Filter results by color, style or theme to quickly find the right template for your needs. A selection of templates available on Canva for different types of projects, from social media to corporate presentations. How to use templates 1. Search and Select Search by category or keyword, browse the results and select the template that best suits your needs 2. Customize Edit texts, images, colors and other elements to adapt the template to your brand or preferences 3. Duplicate and Adapt For multi-page projects or series of posts, duplicate the design and maintain consistency by editing only specific content 4. Save as Personal Template After customizing a template, save it as your own template for easy reuse in future projects

Customisation of Designs The true power of Canva emerges when you personalise your templates to adapt them to your specific needs. La platform offers Intuitive customization tools that let you turn any template into a unique design and badge. Techniques of Personalization Changing the colours Canva lets you easily change the color palette of any design. You can select specific colors, use the color picker to sample colors from images, or apply preset palettes to maintain consistency with your brand. Customisation of typography Change font, size, spacing and text alignment to fit your style. Canva offers hundreds of free fonts and the ability to upload custom fonts with your Pro account. Change of layout Rearrange, resize and reposition elements to create unique compositions. Use alignment guides and grid to maintain visual accuracy and consistency. Council Pro Create a "Brand Kit" in Canva to save your corporate colors, fonts and logos. This will allow you to quickly apply your style to any design with a single click, while maintaining visual consistency across all of your materials. The process of customizing a template in Canva, with highlighted options for editing colors, fonts and layouts. Other Customization Techniques Replacement of images Replace placeholder images with your own photos or images from the Canva library with a simple drag-and-drop Management Levels Organize elements into layers, moving forward or backward to create visual depth and hierarchy Effects and Filters Apply filters, shadows, transparencies and other effects to add depth and style to your designs Crop and Masks Use shapes as masks to crop images into creative shapes or to create unique compositions

Graphic elements and library Canva offers a Extensive library of graphic elements that can be used to enrich your designs. This library is one of the main advantages of the platform, allowing even those who do not has illustration skills to create design visually eye-catching. Categories of Elements Shapes and icons Thousands of geometric shapes, themed icons and symbols that can be customized in size, color and style. Perfect for infographics, diagrams and adding visual elements to your designs. Illustrations and graphics High quality illustrations in various styles, from flat graphics to detailed illustrations. Include characters, scenes, objects and decorations for any type of project. Graphs and Diagrams Elements for creating infographics, graphs, flow charts and concept maps. Ideal for business presentations, reports and educational content. Efficient Search Use specific keywords in the search bar to quickly find the perfect items for your project. You can filter by type, style, color and whether they are free or premium. Canva’s graphics library with different categories and search options. Other Library Elements Photos and videos Millions of high-quality stock images and video clips, many of which are free even with basic accounts Grids and Frames Photo frames, collage grids and structured layouts to organize visual content Audio Music tracks, sound effects and loops for video projects, presentations and multimedia content Animated Effects Animations, transitions and special effects for dynamic presentations and social content

Text and Typography Typography is a fundamental element of design and Canva offers Advanced text management tools that allow for Create professional typographic compositions without knowledge specific techniques. Typographical features Library of Font Over 3,000 fonts available, from classic serif and sans-serif to decorative fonts and scripts. The library includes free and premium fonts, with the ability to upload custom fonts with your Pro account. Predefined Text Styles Typographical combinations curated by professional designers for titles, subtitles and body text. These predefined styles ensure consistency and typographic harmony in your designs. Advanced Controls Options for adjusting character spacing (kerning), line spacing, alignment, indentation and text orientation. These controls make it possible to obtain precise and professional typographic compositions. Printing Board Limit use to 2-3 fonts per project to maintain visual consistency. Combine a distinctive font for titles with a readable font for the body text. Use the typographic hierarchy (size, weight, color) to guide the reader’s attention. Canva’s typographic tools with the text editing panel and a selection of available fonts. Creative Text Effects Shading and Filling Apply shades of color, texture and pattern as text fill for eye-catching visual effects Shadows and Contours Add depth with customizable shadows, highlights and contours in color, opacity and blur Text on route Arrange text along curved paths or shapes to create circular, wavy or geometric designs 3D effects Creates the illusion of depth and three-dimensionality with extrusion and perspective effects

Photo and Image Editing Canva offers Powerful photo editing tools that allow you to edit and improve images directly Within the platform, with no need for external software specialized. Editing Tools Basic Settings Controls for brightness, contrast, saturation, color temperature and sharpness. These tools allow you to quickly correct common problems and improve the visual quality of your images. Crop and resize Tools to crop, resize and rotate images. Canva also offers predefined proportions for the most common formats (social media, print, web) and the ability to cut out custom shapes. Filters and Effects A wide range of preset filters to quickly change the look of your photos. From vintage effects to dramatic filters, these presets allow you to create specific atmospheres with just one click. Council Pro Use the "Remove Background" feature in Canva Pro to quickly isolate subjects from images and create professional compositions. This AI-based tool is particularly useful for e-commerce, social media and product design. Canva’s photo editing interface with the control panel and editing tools. Advanced editing features Background Removal Automatically isolate subjects from images with AI technology to create compositions and collages Photo Retouching Tools to remove imperfections, even skin tones and improve specific details Masks and overlays Apply masks to create overlay effects, transparencies and creative compositions Editing IA Tools based on artificial intelligence to automatically improve images and generate variations

Canva Pro and Advanced Features Canva offers a free version with many features, but for the creative professionals Canva Pro unlocks advanced tools that significantly amplify creative possibilities and optimize the workflow. Premium features Background Removal AI-based tool that automatically removes background from images with a single click. Particularly useful for e-commerce, social media and creative compositions that require isolated subjects. Magic Resize Automatically resize designs for different formats and platforms with one click. This feature allows you to quickly adapt a design for Instagram, Facebook, website and print without recreating each version from scratch. Brand Kit Easily save and apply your brand’s colors, fonts and logo to any design. This feature ensures visual consistency across all materials and speeds up the creation process while maintaining brand identity. ROI of Canva Pro For creatives who regularly produce content, Canva Pro can save an average of 4-6 hours per week by automating repetitive tasks and accessing premium resources. This results in a significant return on investment compared to the cost of the subscription. Canva Pro dashboard with advanced features highlighted. Other Premium Features Advanced Storage 100GB of cloud space to save designs, images and other creative assets Font Premium Access to over 3,000 premium fonts and ability to upload custom fonts Premium content Access to over 100 million exclusive photos, videos, graphics and templates Content Planner Plan and schedule content to be published directly on social media

Collaboration and Sharing Canva excels in the features of collaboration in real time , enabling creative teams to work together on projects regardless of their geographical location. This aspect is particularly valuable for agencies, marketing teams and freelancers working with clients. Collaborative Functionality Simultaneous editing Multiple users can work on the same project simultaneously, seeing changes in real time. Each employee is identified by a coloured slider, making it clear who is making what changes. Comments and feedback Comments system that allows you to leave specific feedback on design elements. Comments can be resolved once the changes are implemented, creating an efficient workflow for review. Control Permissions Granular management of access permissions, with options for viewing, commenting or editing. This allows you to share projects with customers for approval without risk of unauthorized changes. Best Practice Create a shared folder for each important client or project, with subfolders organized by content type (social, web, print). This system keeps all assets accessible to the team and facilitates the search for specific materials. Canva’s collaboration interface with multiple users working simultaneously on a project. Options for sharing Shareable links Generate links to share projects with anyone, even without a Canva account Shared folders Organize related projects into folders accessible to specific teams or clients History Versions Access previous versions of projects to retrieve changes or compare iterations Online Presentation Share interactive presentations that can be viewed online without the need for downloads

Export and publication Once you’ve completed your project in Canva, you have Numerous export and publishing options to share your work with the world. Canva offers versatile formats for every need, from professional printing to digital publishing. Export Formats Images and graphics Export to PNG (with transparency), JPG (optimized for web) or PDF (for high-quality printing). You can choose the compression quality and pixel size to optimize your files for web or print. Documents and Presentations Export presentations and multipage documents to PDF, PowerPoint (PPTX) or as separate images. Presentations can also be shared as interactive links that can be viewed online. Videos and Animations Export video projects to MP4 format with various resolutions (SD, HD, Full HD). You can also convert slideshows to videos with animated transitions or export animated GIFs for web content. Press Council For professional print projects, always export to PDF with the "Print Quality" option enabled and make sure you include a margin of abundance (bleed) of at least 3mm. Also check that the images are at 300 DPI to ensure clarity. Canva’s export interface with various format and quality options. Direct Publishing Options Social media Publish directly to Instagram, Facebook, Twitter, Pinterest, LinkedIn and other social networks Press Service Order professional prints directly from Canva (business cards, flyers, posters) Website Publish design as web pages with custom domain or Canva subdomain Email Marketing Integration with email platforms to send newsletters and campaigns directly

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