
Create Freely, Protect Fully
Give creative teams the confidence to use AI on set — without risking rights, reputation, or release.
A complete competency-based course that turns fast-moving AI rules into calm, repeatable practice for filmmakers and creative studios. Learners move from "what are we even allowed to do?" to a clear, documented workflow they can defend to a client, a network, or a legal team.
Designed end-to-end in the Design Studio with Craftie as the co-author.
A great course has a face and a point of view. Here is the instructor behind this one — and the real experience that backs it up.

Elena Marsh
AI Compliance Lead for Film & Creative Studios
Defensible AI-on-set workflows for film and creative studios
I spend my days on real sets, helping directors, producers, and post teams use generative tools without gambling with their rights, their talent, or their final cut. Before AI, I worked in production and post, so I know the pace of a shoot day and how quickly a quick fix can turn into a release-blocking problem.
What I kept seeing was the same thing everywhere: crews that genuinely wanted to do the right thing, frozen because no one had given them a clear, defensible process. So I built one — a plain-language, green / yellow / red workflow that a first-day PA and a seasoned editor can both apply the same way.
This course is that exact workflow, taught from the release-blocked scenarios I have actually had to untangle. My goal is simple: that you finish able to say yes to AI with confidence, and know exactly when to say not yet.
Fictional instructor created for this example. Not a real person; headshot is AI-generated.
Rich, on-brand visuals carry the experience across the whole course — here are a few moments from inside this one.



Trust comes from being clear about the edges. Here is exactly what this course delivers — and what it intentionally leaves to others.
Every CraftMyTraining course is built on a competency map — the standards backbone that keeps lessons focused and assessments honest. Here is the one behind this course.
Explain how generative tools work well enough to make sound calls.
Protect people, likeness, and ownership at every step.
Embed safety checks into the real production pipeline.
Ship work that survives client, legal, and platform review.
Why AI changes the risk picture — and why a calm, repeatable process wins.
Protecting likeness, ownership, and the people in front of and behind the camera.
A green / yellow / red system your whole crew can follow.
The pre-delivery audit that protects the final cut.
Lessons can open with a short, branded video. Here is a sample clip playing exactly where a learner would see it.
A short taste of a video lesson — how the workflow looks in a real production environment. (Illustrative clip; no audio.)
Clean layout, focused writing, and a clear takeaway — the same polish across every lesson in the course.

Most AI mistakes on set do not come from bad intent — they come from hesitation. A crew freezes because no one is sure what is allowed. This lesson replaces that hesitation with a single, shared reflex.
Every proposed AI use on a project gets sorted into one of three lights. Green means go — the use is clearly inside policy, provenance is known, and no one’s likeness or IP is at stake. Yellow means pause and review — the use is probably fine, but a named person has to sign off before it moves forward. Red means stop — the use is outside policy until leadership and legal say otherwise.
The power of the system is that it is fast enough to use in the moment. A gaffer, an editor, or a first-time PA can all apply the same three questions and land on the same answer. That consistency is what turns “AI safety” from an abstract worry into muscle memory.
By the end of this lesson you will have adapted the green / yellow / red rubric to your own studio, so the next time someone asks “can we use AI for this?” the answer takes seconds, not a meeting.
Take three real AI uses from your current project and sort each into green, yellow, or red — then name who owns every yellow.
Could a first-day PA and your lead editor look at the same shot and land on the same light? If not, your rubric needs one more clarifying question.
Templates, worksheets, and checklists can ride along with any course, so learners leave with tools they will actually use — not just notes.
A one-page policy your crew can adopt and sign off on before the first shoot day.
Track where every AI asset came from and who consented — ready for client or legal review.
A pocket reference for the three-light system, sized for a lanyard or call sheet.
The final pass that protects your cut before it ships.
Sample resources shown for illustration — the download buttons are not active on this example page.
Assessments are aligned to the competency map, so every check proves a real skill — not just recall.
Classify real production scenarios by risk level.
Complete a consent and provenance record for a scene.
Produce a one-page AI-on-set policy for your team.
Run a full pre-delivery audit end to end.
A consistent look and tone make a course feel trustworthy. Here is the kit behind this one.
Signal Blue
#2596DE
Deep Space
#0D1626
Safe Green
#37C978
Alert Amber
#F4B740
Confident, plain-spoken, protective — a trusted 1st AD, not a lawyer.
Plus Jakarta Sans for headings · DM Sans for body
Notice how a dense, intimidating topic becomes a course a crew would actually finish: short pattern-chunked lessons, a memorable decision framework, and assessments that produce real deliverables instead of trivia.
— The CraftMyTraining design approach
You just explored a complete, standards-based course. Yours can look exactly this good — and you can start today, from a blank page, a template, or a few quick answers with Fast Track.
Illustrative example. This is an illustrative example of how a finished course can look — not a real, purchased, or distributed course. The instructor is a fictional character (not a real person), and all photos, video, and media on this page are AI-generated for demonstration only.