The old model
Human → Tool → Output
You ask. The model responds. You accept, reject, or try again. The human is essentially operating a very sophisticated interface.
The idea
Why directing matters.
AI has changed the economics of production. Cheaper production does not produce better work.
Things that once required a team can now be produced by one person working with a collection of models, tools and workflows. But when generation becomes easy, direction becomes more important. Without direction, AI produces more of everything: more versions, more content, more ideas, more noise, more inconsistency. The bottleneck moves from making things to deciding what is worth making.
A director is not the person who does everything. A director is the person responsible for making sure everything is moving toward the right result.
That means knowing: what are we trying to accomplish? Who is this for? What does good look like? What information does the system need? What should happen automatically? What requires human judgment? What can never ship without approval? AI changes who does the work. It does not eliminate responsibility for the result.
The model
From tool user to director.
The director model
Objective → Context → Crew → Workflow → Review → Approval
The human establishes the system. AI becomes part of the crew. The shift is from prompting to directing.
What are we trying to make? The role comes before the prompt.
If you are directing an AI-generated video, you are responsible for the creative intent. AI can contribute to the work. It cannot own the objective. The first prompt is not the beginning of the production. The decision to direct is.
The principles
Eight creative principles.
My creative philosophy. The technology serves these; it never replaces them.
01 — Start with the idea
Technology is not the idea. A model is not the idea. A visual style is not the idea. Start with what you are trying to make someone think, feel or do. Everything downstream, the tools, the style, the production plan, serves that decision. When the idea is weak, no amount of execution saves it. When the idea is strong, the execution has something to serve. This is why every production I direct begins with a written concept before a single visual is made: the idea has to survive on paper before it earns a production.
02 — Direct, don’t decorate
Every visual decision should serve the idea. Good creative direction is not adding more. It is knowing what belongs and what doesn’t. Restraint is a creative decision. In practice this means cutting the beautiful shot that doesn’t advance the story, removing the clever transition that calls attention to itself, and protecting the audience from everything that isn’t the idea. AI makes it dangerously easy to add more. The director’s job is to keep taking away until only the idea remains.
03 — Give the work a world
Strong creative work has an internal logic. Colour, typography, composition, movement, sound, characters, environments and language should feel like they belong to the same world. When the world is coherent, the audience stops noticing the craft and starts feeling the idea. Building that world is deliberate work: references are gathered, rules are set, and every new element is checked against the world before it is allowed in. This is what kept a six-part video series feeling like one series, and what kept a children’s channel coherent across eighteen years.
04 — Reference everything
AI makes references more powerful, not less. The right references communicate things words cannot. A reference is a decision made visible. Before generating anything, I collect the visual world: frames from films, photography, illustration, existing brand work, and my own previous productions. References do two jobs at once. They align everyone, human or machine, on what “good” looks like. And they give generative tools something specific to aim at, which is the difference between a plausible output and a directed one.
05 — Separate exploration from execution
The first job is to discover what might be possible. The second is to make the strongest possibility real. AI makes exploration cheap; direction makes execution decisive. I keep these phases strictly apart. During exploration, everything is allowed: wild variations, wrong directions, happy accidents. During execution, the exploration ends and the decisions begin. Mixing the two is how productions drift, with endless generating and nothing finished. The director decides when exploring stops and making starts.
06 — Make the impossible testable
Creative technology is most interesting when it turns an idea that would have been too expensive, too slow or simply impossible into something you can actually prototype. Prototype first, commit second. A concept that would have needed a full shoot can now be tested as a generated animatic in an afternoon. The prototype doesn’t need to be final quality; it needs to answer the question: does this idea work? This changes what a creative director can propose, because the cost of testing an ambitious idea has collapsed.
07 — Protect the human point of view
AI can generate infinite possibilities. Infinite possibilities are not a creative strategy. Someone still has to choose. Taste is the strategy. This is the principle the others serve: at every stage, a human with a point of view decides what survives. The audience never experiences the thousand options that were generated. They experience the one that was chosen, and the choosing is the creative act. No workflow, however automated, gets to make that choice.
08 — Ship the work
Creative direction ultimately ends in a decision. Not another prompt. Not another variation. The work gets finished. Done is a creative decision too. Every production needs a point where someone asks: is this actually good enough? That question becomes more important, not less, as generation gets cheaper. The director owns the decision. Nothing ships simply because a model said it was finished.
Taste
The scarcest skill.
AI can generate ten thousand options. Taste is knowing which one is worth pursuing.
Creative direction is partly the ability to recognize a strong idea before it is fully formed. It is knowing when something feels too obvious, too polished, too safe, too familiar, too much, not enough, or exactly right. AI can help generate possibilities. It cannot outsource the responsibility of choosing among them.
The more abundant creation becomes, the more valuable taste becomes.
Judgment
Creative judgment, in practice.
Judgment isn’t mystical. It’s a set of questions asked at every stage of production.
- Q1Does this serve the idea?
If not, it goes, however beautiful.
- Q2Does this belong in the world?
Coherence beats novelty.
- Q3Will the audience feel this?
Technique the audience notices is technique that failed.
- Q4Is this the strongest version?
Exploration earns its keep only if the best option wins.
- Q5Is this finished?
Good enough is a decision, not an accident.
Process
From idea to execution.
A creative idea is only the beginning. The objective is not to make technology visible. The objective is to make the idea visible.
- Stage 01Concept.
What is the idea? What is the audience supposed to feel, understand or remember?
- Stage 02Treatment.
What does the idea look like? What is the visual language, the tone, the references, the world?
- Stage 03Production.
How do we actually make it? Where can emerging technology expand the possibilities? Where does human craft matter most?
Craft
Visual language.
Every project needs its own visual grammar. These decisions create something more important than style. They create identity.
- 01Composition.
What does the viewer see first?
- 02Colour.
What emotional world does the palette create?
- 03Typography.
What personality does the type carry?
- 04Motion.
How does the work move?
- 05Imagery.
What makes the visual world feel specific?
- 06Sound.
What does the audience hear before they consciously notice it?
- 07Pacing.
When does the work breathe?
- 08Contrast.
What makes one moment more important than another?
Workflows
AI-assisted creative workflows.
I don’t use AI as a button that makes finished creative. I use it throughout the creative process, with human judgment at every gate.
- 01Explore.
Generate possibilities quickly.
- 02Research.
Build context and understand the problem.
- 03Develop.
Explore visual directions, treatments, scripts and concepts.
- 04Prototype.
Make an idea tangible before committing to full production.
- 05Produce.
AI-assisted workflows for images, video, sound, motion and content.
- 06Iterate.
Generate variations and test directions quickly.
- 07Refine.
Bring the strongest material together through human editing and judgment.
- 08Finish.
Make the final creative decisions.
AI increases the number of doors I can open. Creative direction decides which door I walk through.
Systems
Production systems for creative work.
Great creative isn’t only about individual talent. It’s about creating a system where good work can happen repeatedly: briefs, references, moodboards, creative standards, templates, production workflows, approval processes, asset libraries. These aren’t separate from creativity. They’re the infrastructure that allows creativity to scale.
The stack
Direction + Context + Workflow + Tools + Evaluation + Judgment.
- 01Direction.
The objective, audience, constraints and definition of success.
- 02Context.
References, source material, brand standards and examples, designed as production infrastructure.
- 03Crew.
People, models, agents, software: separated responsibilities working toward one outcome.
- 04Workflow.
Research → draft → generate → evaluate → revise → approve.
- 05Memory.
Characters. Brand. Facts. Voice. Decisions. References. Consistency designed into the production.
- 06Quality control.
Standards, checklists, evaluation criteria and human review.
- 07Approval.
Who decides what ships? The final gate remains human.
The loop
Every production improves the next.
Define → Contextualize → Direct → Produce → Evaluate → Refine → Approve → Learn
The final step matters. A good production does not simply create an output. It improves the system that creates the next output.
Field notes
Notes from the chair.
A growing record of essays, experiments, and observations on creative direction in the AI era.
Note 01Why AI projects fail before the AI doesMost failures are direction failures: no objective, no context, no standard. The model was never the problem.
Note 02The difference between a prompt and a production systemA prompt is a request. A production system is direction, context, workflow, tools, evaluation and judgment.
Note 03Context is the new interfaceThe most important design work in AI systems is not the prompt. It is the environment the prompt runs in.
Note 04Why consistency becomes harder when generation becomes cheaperFive hundred outputs need architecture, not inspection. Consistency is a systems problem.
Note 05What humans should never delegate to an AI agentIntent, taste, accountability, and the final approval. The chair stays occupied.
Note 06Why every AI workflow needs an approval gateAutomation should remove repetitive work. It should not remove judgment.
Note 07The end of the one-prompt workflowAs AI moves into agents and automated workflows, prompting becomes one layer of a larger system.
Note 08What happens when the bottleneck moves from production to judgmentWhen making things is cheap, deciding what is worth making becomes the scarce skill.
Manifesto
The Director’s Manifesto.
AI is not the director. AI is the crew.
The director defines the destination. The crew helps build the road.
The director decides what matters. The crew explores the possibilities.
The director establishes the standard. The crew produces against it.
The director protects the story. The crew creates the takes.
The director reviews the work. The crew learns from the decision.
And when the work is ready: the director decides what ships.
That is the point of the chair. Not control for its own sake. Responsibility for the result.
See the method in practice.
Case studies from productions that ran on it.