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Rupert Chesman
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Course Presentation

AI for Creatives

Filmmaking, design and storytelling in the AI era. Built by a filmmaker who actually uses these tools in production.

ONE-DAY COURSE
“

The camera didn't replace painters.
AI won't replace creatives.

But creatives who use AI will replace those who don't.

The new creative reality

What You'll Learn

  • Master AI image generation with ChatGPT Images 2.0, Midjourney and Google's image models
  • Create professional video content with Veo 3.1, Seedance, Kling and Happy Horse
  • Build complete audio and music productions using AI-generated sound
  • Design brand identities and marketing campaigns with Claude Design and Canva AI
  • Develop AI-powered pre-production pipelines for film and commercial work
  • Navigate copyright, ethics and ownership in the age of generative media

Who This Course Is For

  • Filmmakers, photographers and videographers exploring AI workflows
  • Graphic designers and visual artists who want to amplify their output
  • Marketing creatives building campaigns with AI-generated assets
  • Musicians and audio engineers curious about AI-generated sound
  • Content creators who want cinema-quality production on any budget
  • Anyone in a creative field who wants to stay ahead of the curve

7 Modules

From the AI creative revolution to building your own AI-powered production studio

Course Structure

  • Module 1 — The AI Creative Revolution
  • Module 2 — AI Image Mastery
  • Module 3 — AI Video Production
  • Module 4 — Storyboarding & Pre-Production
  • Module 5 — AI Sound & Music
  • Module 6 — Advertising & Commercial Work
  • Module 7 — Building Your AI Creative Studio
Module 01

The AI Creative Revolution

How AI is reshaping every creative industry — and why the creatives who adapt now will define the next decade.

01

The Revolution

Objectives

What You'll
Learn

  • Understand the current state of AI across creative disciplines
  • Identify the key AI tools reshaping image, video, audio and design
  • Recognise new creative roles and career opportunities emerging
  • Articulate why AI amplifies creative ability rather than replacing it
  • Develop the creative director mindset for working with AI
The Landscape

Creative AI in 2026

Eight categories of AI tools every creative professional needs to understand.

The Eight Categories of Creative AI

  • Image Generation & Editing — create and transform visuals from text prompts
  • Text-to-Video — generate cinema-quality footage from descriptions
  • Motion Design & Animation — add movement to static designs
  • Audio & Music Generation — compose soundtracks, sound effects and dialogue
  • Generative Design & Layout — auto-arrange content with brand awareness
  • Prompt Engineering — the meta-skill that connects everything
  • Multimodal Workflows — chain models together for complete productions
  • Ethics & IP — navigate ownership, copyright and creative responsibility

The Speed of Change

  • 2022: DALL-E 2 showed AI could generate images — novelty stage
  • 2023: Midjourney v5 produced photorealistic output — professional stage
  • 2024: Sora previewed text-to-video — the paradigm shift begins
  • 2025: Multiple video models reach production quality simultaneously
  • 2026: Veo 3.1 generates video with native audio — the convergence point
  • We're at the moment where AI creative tools become genuinely professional
“

The best time to learn AI was two years ago.

The second best time is today.

Every creative professional, eventually

New Creative Roles Emerging

  • AI Creative Director — orchestrate multiple AI tools into cohesive campaigns
  • Prompt Artist — specialise in crafting visual prompts for specific styles
  • AI Production Manager — manage AI-human hybrid production pipelines
  • Generative Brand Designer — create and maintain brand systems with AI
  • AI Sound Designer — compose and curate AI-generated audio landscapes
  • Ethics & Compliance Lead — ensure AI outputs meet legal and ethical standards

What Changes, What Stays

  • AI Takes Over
  • Repetitive asset generation
  • Background removal and cleanup
  • Basic layout variations
  • First-draft copy and taglines
  • Simple motion graphics
  • Stays Human
  • Creative vision and taste
  • Emotional storytelling
  • Cultural context and nuance
  • Client relationship management
  • Final quality judgement

The Creative Director Mindset

  • You are not the painter — you are the art director with an infinite team
  • Your value shifts from execution speed to creative judgement
  • The skill is knowing what to ask for, not knowing how to make it
  • Learn to iterate rapidly: generate, evaluate, refine, generate again
  • Build a personal toolkit — know which AI tool suits which creative task
  • Stay human: AI handles production, you handle meaning and emotion

The Tool Landscape in 2026

  • Image: ChatGPT Images 2.0, Midjourney, Google Nano Banana Pro
  • Video: Veo 3.1, Seedance 2.0, Happy Horse 1.0, Kling 3.0
  • Design: Claude Design, Canva AI Suite, Adobe Firefly
  • Audio: Suno, Udio, native audio in Veo and video models
  • Layout: Canva Magic Design, Claude Design prototyping
  • The power is in combining them — not choosing one
Hands-On Activity • 15 min

Map Your Creative AI Stack

  • List your five most common creative tasks (e.g. thumbnails, social posts, video edits)
  • For each task, identify which AI tool category could assist
  • Draft a 'before AI' vs 'with AI' timeline for one task
  • Share your biggest surprise — which task could AI help with most?
Module 01 Recap

The AI Creative Revolution

  • Creative AI spans eight categories: image, video, audio, design, layout and more
  • New roles are emerging — the AI Creative Director is the most important
  • Your value shifts from production speed to creative vision and judgement
  • The tool landscape is maturing fast — 2026 is the convergence year
  • The creative director mindset: direct AI, don't compete with it
Module 02

AI Image Mastery

Master professional image generation with the most powerful AI models available today.

02

Image Mastery

Objectives

What You'll
Learn

  • Generate professional-quality images with ChatGPT Images 2.0 and Midjourney
  • Use Google's Nano Banana Pro for data-driven infographics and visualisations
  • Control style, composition and consistency across image sets
  • Edit, inpaint and extend images using AI tools
  • Build efficient prompt workflows for commercial image production
Image Generation

ChatGPT Images 2.0

OpenAI's GPT-Image-2 model — the thinking image generator.

ChatGPT Images 2.0 — What's New

  • Built on GPT-Image-2 with a 'thinking' pipeline — reasons before generating
  • Renders accurate text in images — perfect for posters, infographics, memes
  • Supports up to 2K x 2K resolution (4K for higher tiers)
  • Generate batches of up to 8 images per prompt
  • Improved style consistency and multilingual text rendering
  • Available via ChatGPT UI and the OpenAI API (~$0.21 per high-quality image)

Prompting for ChatGPT Images

  • Be specific about composition: 'overhead shot', 'rule of thirds', 'golden hour'
  • Include medium references: 'in the style of 35mm film', 'watercolour texture'
  • Specify text content exactly — ChatGPT Images excels at text rendering
  • Use iterative refinement: generate, then ask for specific edits
  • Reference real-world aesthetics: 'Wes Anderson colour palette', 'brutalist typography'
  • Include technical specs: aspect ratio, lighting direction, depth of field

Image Editing with ChatGPT

  • Upload an existing image and describe changes in natural language
  • Inpainting: select a region and describe what should fill it
  • Style transfer: 'make this photo look like a vintage film poster'
  • Object editing: 'remove the background', 'add a sunset behind the building'
  • Batch consistency: generate variations maintaining the same style
  • The conversation context means edits can build on each other iteratively
Google's Image Model

Nano Banana Pro

Data-driven visuals and infographics with reasoning built in.

Nano Banana Pro — Key Capabilities

  • Built on Gemini 3.1 — combines image generation with reasoning
  • Exceptional at generating charts, diagrams and infographics from data
  • Supports aspect ratios from 3:1 to 1:3 and up to 4K output
  • Multilingual text rendering for international campaigns
  • Advanced editing controls: lighting, focus, aspect ratio adjustments
  • Integrated across Google ecosystem: Gemini app, Slides, AI Studio

When to Choose Which Tool

  • ChatGPT Images 2.0: best for creative imagery with text, posters, editorial
  • Midjourney: best for artistic, stylised and highly aesthetic imagery
  • Nano Banana Pro: best for data visualisation, infographics, charts with text
  • Adobe Firefly: best for commercial-safe imagery trained on licensed content
  • Canva AI: best for quick social media assets within brand templates
  • The professional creative uses all of them depending on the brief
“

The prompt is the new sketch.

Learning to write great prompts is the fundamental creative skill of the AI era.

The art of AI image generation

Professional Prompt Architecture

  • Subject: what is in the image — be specific about people, objects, setting
  • Style: artistic medium, aesthetic, era, colour palette, mood
  • Composition: camera angle, framing, rule of thirds, leading lines
  • Lighting: golden hour, studio, dramatic chiaroscuro, flat, ambient
  • Technical: resolution, aspect ratio, depth of field, film grain
  • Negative space: what to exclude — 'no text', 'no watermarks', 'no people'

Style Control and Consistency

  • Create a 'style bible' prompt: a reference prompt that defines your visual language
  • Use consistent seed values (in Midjourney) for related images
  • Build prompt templates with placeholders for subject changes
  • Use ChatGPT's conversation memory to maintain style across a session
  • Create reference sheets: generate 4-6 images and choose a style to lock in
  • Document your winning prompts in a personal prompt library
Hands-On Activity • 25 min

Image Generation Masterclass

  • Generate a hero image for a fictional travel campaign using ChatGPT Images 2.0
  • Create the same brief in Midjourney or Nano Banana Pro — compare results
  • Edit your best image: change the lighting, add text overlay, adjust the mood
  • Build a 3-image set with consistent style for a social media carousel
  • Document your prompt — share what worked and what needed iteration

Common Image Generation Mistakes

  • Vague prompts: 'make a nice picture' gives you generic results
  • Over-prompting: cramming too many instructions confuses the model
  • Ignoring aspect ratio: always specify dimensions for your target platform
  • Not iterating: your first generation is a draft, not the final output
  • Forgetting negative prompts: tell the model what you don't want
  • One-tool thinking: different tools have different strengths — use them all
Module 02 Recap

AI Image Mastery

  • ChatGPT Images 2.0 excels at text-in-image and iterative editing
  • Nano Banana Pro is the go-to for data-driven infographics
  • Professional prompts follow a structure: subject, style, composition, lighting
  • Style consistency requires templates, documentation and systematic workflows
  • Different tools for different tasks — the pro creative uses the right tool
Module 03

AI Video Production

Create cinema-quality video content with the most powerful generative video models in the world.

03

Video Production

Objectives

What You'll
Learn

  • Understand the capabilities and limits of current text-to-video models
  • Generate video with Veo 3.1, Seedance 2.0, Kling 3.0 and Happy Horse 1.0
  • Control camera movement, lighting, character consistency and audio
  • Build multi-shot sequences with scene continuity
  • Integrate AI-generated footage into professional editing workflows
The Big Picture

The Text-to-Video Revolution

Five competing models, each with distinct strengths.

The Video Model Landscape in 2026

  • Veo 3.1 (Google DeepMind): 8-second clips, up to 4K, with native audio
  • Seedance 2.0 (ByteDance): 'director-level' controls, multi-shot continuity
  • Kling 3.0 (Kuaishou): extended scenes, AI Director storyboarding, video editing
  • Happy Horse 1.0 (Alibaba): 2-5 minute videos with Foley sound and lip-sync
  • These aren't demos — they're production-ready tools for real creative work
  • Pricing ranges from $0.07/second (Kling) to subscription-based (Veo)
Google DeepMind

Veo 3.1

Video meets audio — the convergence point.

Veo 3.1 — Capabilities Deep Dive

  • Generates 8-second videos at 720p, 1080p or 4K resolution
  • Natively generates synchronised audio: ambient sound, effects and dialogue
  • Physics-based generation: realistic motion, lighting, reflections
  • Multiple reference images to steer character appearance and style
  • Supports vertical (9:16) format for mobile and social media
  • Available via Google AI Studio and Gemini for AI Ultra subscribers

Prompting for Veo 3.1

  • Start with shot type: 'extreme close-up', 'tracking shot', 'aerial dolly'
  • Describe action with temporal sequence: 'a woman walks to the window, pauses, turns'
  • Specify audio: 'ambient rain sounds, soft piano in background, her footsteps echo'
  • Include camera movement: 'slow push-in', 'handheld following subject'
  • Define mood: 'melancholic golden hour', 'frenetic documentary style'
  • Use reference images for character and setting consistency
ByteDance

Seedance 2.0

Director-level control for cinematic video generation.

Seedance 2.0 — Director Controls

  • Set first and last frames to control the narrative arc of each clip
  • Use @tags for camera movement: @dolly_in, @pan_left, @crane_up
  • Style control via reference images and text descriptors
  • Multi-shot scene generation with consistent characters and environments
  • Audio-sync: generate video that matches dialogue or music prompts
  • Standard mode for quality, Fast mode for rapid iteration
Kuaishou

Kling 3.0

The complete AI video suite — generation, editing and storyboarding.

Kling 3.0 — The Complete Suite

  • Kling 3.0 Standard/Pro: high-fidelity text-to-video and image-to-video
  • AI Director: built-in storyboarding for multi-shot cinema sequences
  • Kling Omni (O3): custom subject consistency with anchor people and props
  • Video editing via natural language: 'remove the person in the background'
  • Voice cloning and multi-language audio for international productions
  • Extended narratives: up to 15 seconds with multi-shot scene continuity
Alibaba

Happy Horse 1.0

Long-form video with native sound.

Happy Horse 1.0 — Long-Form Generation

  • Generate 2-5 minute videos at 1080p — the longest of any model
  • Native Foley sound generation: footsteps, doors, environmental audio
  • Multilingual lip-sync: characters speak and their mouths match
  • Fast generation: ~38 seconds for a 5-second clip at 1080p on H100
  • Up to 9 reference images for character and scene consistency
  • Explicit camera controls specified in prompt: pan, tilt, zoom
“

Every creative team is about to become a production studio.

These tools don't just assist — they multiply what's possible.

The democratisation of filmmaking

Choosing the Right Video Model

  • Best For Short, Polished Clips
  • Veo 3.1 — 4K with native audio
  • Seedance 2.0 — fine camera control
  • Both: maximum quality per second
  • Ideal: ads, teasers, social content
  • Best For Extended Narratives
  • Kling 3.0 — multi-shot sequences
  • Happy Horse — 2-5 minute videos
  • Both: character consistency
  • Ideal: explainers, stories, promos

Integrating AI Video into Post-Production

  • Export AI clips and import into DaVinci Resolve, Premiere or Final Cut
  • Colour-grade AI footage to match your live-action palette
  • Use AI clips as B-roll, establishing shots or visual metaphors
  • Layer AI-generated audio under your edit for ambient soundscaping
  • Combine multiple AI tools: image → video → audio → final edit
  • Always review at full resolution — AI artifacts become visible on big screens

Video Generation Best Practices

  • Generate multiple takes — treat each prompt like directing a scene
  • Specify exact shot types using cinematography language
  • Use reference images to anchor character consistency across shots
  • Build sequences: establish wide, medium, close-up for each scene
  • Always specify audio requirements — don't leave sound to default
  • Keep a shot log: document which prompts produced your best results
Hands-On Activity • 30 min

AI Video Production Sprint

  • Write a 3-shot storyboard for a 30-second product promo
  • Generate each shot using a different video model (Veo, Kling or Seedance)
  • Add audio direction to at least one shot
  • Arrange your clips in sequence — does the narrative hold?
  • Present your mini-film and discuss which model performed best
Module 03 Recap

AI Video Production

  • Five major video models are now production-ready, each with distinct strengths
  • Veo 3.1 leads in quality and native audio generation
  • Kling 3.0 offers the most complete suite with editing and storyboarding
  • Happy Horse enables the longest-form AI video generation
  • Integration into post-production workflows is the professional advantage
Module 04

Storyboarding & Pre-Production

AI-powered visual development, concept art, moodboards and shot planning for professional productions.

04

Pre-Production

Objectives

What You'll
Learn

  • Use AI to generate concept art and visual development materials
  • Build comprehensive moodboards with AI-generated reference imagery
  • Create shot lists and storyboards using image and video models
  • Plan cinematography with AI-assisted location scouting
  • Develop a complete pre-production package using AI tools
Visual Development

Concept Art with AI

From blank page to visual direction in minutes, not weeks.

AI for Concept Art

  • Generate dozens of visual directions in an hour — explore widely, decide quickly
  • Use ChatGPT Images for quick concepts with text annotations
  • Use Midjourney for highly polished, painterly concept art
  • Iterate on promising directions: 'same composition, warmer palette'
  • Create character sheets: face, full body, key expressions, wardrobe options
  • Generate environment designs: wide shots, detail textures, lighting studies

Building AI Moodboards

  • Define the emotional core: what should the audience feel?
  • Generate 20-30 images exploring colour, texture, lighting, composition
  • Curate the strongest 8-10 images into a cohesive board
  • Use Canva or Claude Design to arrange into a professional presentation
  • Include reference notes: 'this lighting quality', 'this colour temperature'
  • Share with team and clients — AI moodboards communicate vision faster

AI Storyboarding Workflow

  • Write scene descriptions as detailed prompts
  • Generate key frames using ChatGPT Images or Midjourney
  • Arrange frames in sequence with shot type annotations
  • Use Kling's AI Director to test the sequence as rough video
  • Iterate: regenerate weak frames, adjust framing, test pacing
  • Export as a PDF or slide deck for production reference

Traditional vs AI Pre-Production

  • Traditional Timeline
  • Concept art: 2-4 weeks
  • Moodboards: 1 week research
  • Storyboards: 1-2 weeks
  • Location scouting: days of travel
  • Total: 4-8 weeks minimum
  • AI-Assisted Timeline
  • Concept art: 2-4 hours
  • Moodboards: 30 minutes
  • Storyboards: 1-2 hours
  • Location scouting: minutes
  • Total: 1-2 days maximum

Shot Lists and Cinematography Planning

  • Describe each shot with cinematography language in your prompt
  • Generate reference frames for every key shot in your production
  • Test camera movement by generating the same scene from multiple angles
  • Use AI to visualise difficult setups before committing resources
  • Create lighting diagrams by generating the same scene with different light
  • Plan transitions: generate the end frame of one shot and start of the next

AI Location Scouting

  • Describe your ideal location: 'brutalist concrete building at sunset, wet streets'
  • Generate dozens of location options without leaving your desk
  • Modify real locations: 'this building but at night with neon lighting'
  • Explore impossible locations: combine elements from different places
  • Create set-design references: 'this room with mid-century modern furniture'
  • Share AI location concepts with production designers for practical execution
Hands-On Activity • 30 min

Pre-Production Package Build

  • Choose a short film concept (30-second commercial or 1-minute short)
  • Generate 5 concept art images exploring the visual direction
  • Build a 6-frame storyboard with shot type annotations
  • Create a moodboard with 8 curated reference images
  • Write a shot list with AI-generated reference frames for 3 key shots
Module 04 Recap

Storyboarding & Pre-Production

  • AI reduces pre-production from weeks to hours without sacrificing quality
  • Concept art, moodboards and storyboards can all be AI-generated
  • Shot lists benefit from AI reference frames — visualise before you shoot
  • AI location scouting expands creative possibilities exponentially
  • A complete pre-production package can be built in a single day
Module 05

AI Sound & Music

Create music, sound effects, Foley and complete audio productions using AI — from scratch.

05

Sound & Music

Objectives

What You'll
Learn

  • Generate original music tracks for film, advertising and content
  • Create sound effects and Foley using AI audio models
  • Understand how video models generate native, synchronised audio
  • Build audio post-production workflows that integrate AI
  • Navigate music licensing, copyright and ethical considerations
AI Audio

The Sound Revolution

AI can now compose, perform and produce — what does this mean for audio creatives?

AI Music Generation in 2026

  • Suno and Udio can generate full songs: vocals, instruments, production
  • Specify genre, mood, tempo, instrumentation and lyrical themes
  • Generate 30-second to 3-minute tracks in seconds
  • Iterate: 'same melody, add strings', 'more energy in the chorus'
  • Quality has reached a point where AI music is used in commercial productions
  • The ethical debate is intense — but the tools are here and being used

AI Sound Design and Foley

  • Veo 3.1 generates native audio: ambient sound, effects, dialogue
  • Happy Horse produces Foley sound natively — footsteps, doors, environmental
  • Standalone tools can generate specific sound effects from text descriptions
  • Create atmosphere: 'busy café, rain on windows, distant traffic'
  • Generate Foley layers: separate tracks for footsteps, fabric, props
  • Use AI audio as a foundation, then mix and master with traditional tools

Scoring Film and Video with AI

  • Generate temp tracks that communicate your musical vision to composers
  • Create background music for documentaries, corporate videos and content
  • Match mood to scene: describe the emotional arc, AI composes to fit
  • Layer AI-generated ambient sound under AI-generated music
  • Use AI scores for rough cuts, then decide whether to commission custom music
  • Some productions are shipping with AI scores — the economics are compelling
“

Sound is half the experience.

AI just made professional audio accessible to every visual storyteller.

The audio revolution

AI Audio: Strengths vs Limitations

  • Where AI Audio Excels
  • Background music and ambient scoring
  • Sound effects and Foley generation
  • Rapid iteration and exploration
  • Budget-friendly production music
  • Temp tracks for rough cuts
  • Where Humans Still Lead
  • Emotionally complex compositions
  • Live performance nuance
  • Cultural authenticity in music
  • Critical mixing and mastering
  • Original artistic expression

Audio Post-Production with AI

  • Use AI to generate base audio layers: music, ambience, effects
  • Import into your DAW (Logic, Pro Tools, Ableton) for mixing
  • AI-enhanced speech: clean up dialogue, remove background noise
  • Generate multiple mood variations for the same scene — test in edit
  • Foley matching: describe the action, generate matching sounds
  • Final mix remains a human skill — AI provides the raw materials

Music Licensing and Ethics

  • AI-generated music raises serious questions about copyright ownership
  • Current legal landscape is evolving — check terms for each tool
  • Some platforms offer royalty-free AI music with commercial rights
  • Always check: can you use AI-generated music in paid commercial work?
  • Credit and disclosure: be transparent about AI use in your productions
  • The music industry is actively fighting back — stay informed on legal changes
Hands-On Activity • 20 min

AI Audio Production Lab

  • Generate a 30-second music track using Suno — specify genre and mood
  • Create three sound effects using text descriptions
  • Layer the music with sound effects to create a 30-second audio scene
  • Compare AI audio with stock audio for the same brief — quality and fit
  • Discuss: when is AI audio appropriate? When would you hire a composer?
Module 05 Recap

AI Sound & Music

  • AI can now generate music, sound effects, Foley and dialogue
  • Video models like Veo 3.1 and Happy Horse include native audio generation
  • AI audio works best as a foundation — mixing and mastering stay human
  • Music licensing and copyright are evolving rapidly — stay informed
  • The professional approach: use AI for exploration, humans for final quality
Module 06

Advertising & Commercial Work

Build campaigns, maintain brand consistency and deliver client work using AI-powered creative workflows.

06

Commercial Work

Objectives

What You'll
Learn

  • Create complete advertising campaigns using AI tools
  • Use Claude Design and Canva AI for brand-aligned creative production
  • Maintain visual consistency across multi-platform campaigns
  • Build client-facing workflows that integrate AI seamlessly
  • Design production pipelines that scale without scaling costs
Design Tools

Claude Design & Canva AI

Two design platforms that are reshaping commercial creative work.

Claude Design — AI-Powered Design Studio

  • All-in-one AI design tool powered by Claude Opus 4.7
  • Build UI mockups, slide decks, video concepts and marketing collateral via conversation
  • Supports iterative refinement — comment on designs, request specific changes
  • Export to code (HTML/CSS), PDF, PowerPoint or Canva templates
  • Global style adjustments: change colour, spacing, typography across all designs
  • Pro-level features: brand systems, voice prototyping, interactive previews

Canva AI Suite — Design at Scale

  • Magic Design: describe what you need, get a complete design template
  • Magic Write: AI-generated copy that matches your brand voice
  • Magic Resize: adapt one design to every platform dimension instantly
  • Magic Animate: add motion to static designs with one click
  • Brand Kit integration: AI generates on-brand content automatically
  • AI Pass ($100/month) for heavy users who need unlimited generations

Campaign Visual Creation

  • Brief: define campaign goals, audience, platform requirements and brand guidelines
  • Hero asset: generate the primary campaign image using ChatGPT Images or Midjourney
  • Variations: create platform-specific crops and sizes with Canva Magic Resize
  • Video: generate a 15-second social video with Seedance or Veo
  • Copy: use Claude to write headlines, body copy and CTAs
  • Assembly: combine in Canva or Claude Design for final, on-brand output
“

A solo creative with AI tools can now produce what used to require a team of twelve.

That's not a threat — it's a superpower.

The economics of AI creative production

Brand Consistency with AI

  • Create a brand prompt template: colours, fonts, style descriptors, mood
  • Feed brand guidelines into Claude Design for automatic compliance
  • Use Canva Brand Kit to constrain AI outputs to approved colours and fonts
  • Generate a style reference sheet — 6-10 images that define the brand's AI look
  • Version control: document approved prompts and outputs for reuse
  • Quality check: every AI output should pass the 'would I show this to the client?' test

Client Workflow Integration

  • Present AI concepts as 'initial directions' — never as final work without review
  • Use AI to generate 3-5 concept directions in the time of one traditional concept
  • Client feedback loop: regenerate with specific client notes in real-time
  • Build presentation decks with Claude Design to pitch AI-generated concepts
  • Manage expectations: explain that AI accelerates iteration, not replaces creativity
  • Always bill for creative direction and strategy, not just production time

Production Pipelines at Scale

  • Map your production pipeline: brief → concept → production → review → delivery
  • Identify which stages AI can accelerate vs which need human touch
  • Build templates: reusable prompt sets for common campaign types
  • Automate variations: one hero concept → 20 platform-specific outputs
  • Quality gates: define checkpoints where a human reviews AI output
  • Track time savings: document before-AI vs with-AI production timelines
Hands-On Activity • 30 min

AI Campaign Sprint

  • Brief: create a 3-asset social media campaign for a fictional coffee brand
  • Generate a hero image using ChatGPT Images or Midjourney
  • Create a 15-second teaser concept using Veo or Seedance
  • Design a carousel post using Canva AI or Claude Design
  • Present your campaign — assets, rationale and production notes
Module 06 Recap

Advertising & Commercial Work

  • Claude Design and Canva AI enable rapid, on-brand creative production
  • Campaign creation follows: brief → hero → variations → video → assembly
  • Brand consistency requires templates, guidelines and human quality gates
  • Client workflows should present AI outputs as directions, not final work
  • AI production pipelines scale output without scaling costs proportionally
Module 07

Building Your AI Creative Studio

Assemble your personal AI toolkit, build sustainable workflows and navigate the ethics of creative AI.

07

Your Studio

Objectives

What You'll
Learn

  • Design a personalised AI tool stack for your creative discipline
  • Build integrated workflows that chain multiple AI tools together
  • Create a professional portfolio featuring AI-enhanced work
  • Navigate copyright, ownership and ethical considerations
  • Develop a sustainable strategy for staying current as tools evolve
Your Toolkit

Building Your Stack

No single tool does everything. The professional advantage is in the combination.

Designing Your Tool Stack

  • Image tier: choose 2-3 image generators for different use cases
  • Video tier: select 1-2 video models based on your production needs
  • Design tier: Claude Design for prototyping, Canva for production
  • Audio tier: Suno for music, video models for sound effects
  • Writing tier: Claude for copy, ChatGPT for brainstorming
  • Budget realistically: free tiers for exploration, paid for production

Multimodal Workflow Integration

  • Chain 1: Brief → Claude (script) → ChatGPT Images (storyboard) → Veo (video)
  • Chain 2: Midjourney (concept art) → Claude Design (campaign) → Canva (resize)
  • Chain 3: Text prompt → Happy Horse (video + audio) → DaVinci Resolve (edit)
  • Chain 4: Nano Banana (infographic) → Claude Design (deck) → export to slides
  • The power is in the handoffs — output from one tool becomes input to the next
  • Document your workflows so you can repeat and improve them

Portfolio Building with AI

  • Showcase your creative direction, not the AI's generation capability
  • Frame projects around the brief, your decisions and the outcome
  • Include process documentation: prompts, iterations, refinements
  • Be transparent about AI use — it's a tool, not something to hide
  • Focus on taste and curation: the work you selected shows your judgement
  • Build case studies: problem → AI-assisted process → result → impact
“

Your portfolio doesn't prove you can click buttons.

It proves you have taste, judgement and creative vision. Those are human skills.

Building your creative reputation

Ethics & IP

The Ethical Landscape

Creative AI raises real questions about ownership, attribution and responsibility.

Copyright and Ownership

  • Who owns AI-generated content? The law is still catching up
  • Most platforms grant usage rights in their terms of service
  • Google's SynthID watermarks AI-generated images for identification
  • Always check commercial usage rights for each tool you use
  • Client contracts should address AI-generated content explicitly
  • Keep records of your prompts and process — they demonstrate creative input

Ethical AI Creative Practice

  • Transparency: disclose AI use to clients and collaborators
  • Attribution: credit tools and reference materials appropriately
  • Bias awareness: AI models can reproduce stereotypes and cultural biases
  • Environmental cost: large model training has carbon implications
  • Job impact: advocate for AI as augmentation, not replacement
  • Quality responsibility: never ship AI output without human review

Staying Current in Creative AI

  • The tools change monthly — build a habit of exploration
  • Follow key sources: official tool blogs, creative AI communities
  • Set aside 1 hour per week for tool experimentation
  • Join communities of creative professionals using AI
  • Teach what you learn — explaining solidifies understanding
  • Your competitive advantage is adaptation speed, not tool knowledge
Hands-On Activity • 25 min

Design Your AI Creative Studio

  • Define your creative discipline and three most common project types
  • Build your personalised tool stack: list specific tools for each stage
  • Map a complete workflow for your most common project type
  • Write an ethical guidelines document for your own AI creative practice
  • Present your studio setup to the group — get feedback on workflow gaps
Module 07 Recap

Building Your AI Creative Studio

  • Your tool stack should cover image, video, design, audio and writing
  • Multimodal workflows are the professional advantage — chain tools together
  • Portfolios should showcase creative direction and taste, not AI capability
  • Copyright and ethics require active attention and clear client communication
  • Stay current by building a weekly habit of tool exploration and experimentation
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