6-lesson course · about 2 hours

One Source of Truth for Script, References and Decisions

For Filmmakers, producers, editors and production teams coordinating a story across development, planning and post-production

Everything for Filmmakers

For film producers and coordinators: Set up a shared decision log and reference set that proactive AI agents use to align every department, prevent version conflicts, and automate cited digests.

Try lesson 1 freeSee what you’ll learn

What you’ll be able to do

By the end, you can…

Eliminate version conflictConfigure AI agents with specific edges and remits to ensure unapproved drafts never become the production baseline. You will use this to prevent departments from working off outdated scripts.
Automate conflict detectionBuild a shared decision log that automatically flags contradictions between new script revisions and captured footage. This allows you to spot continuity errors before they reach the edit suite.
Deliver cited digestsCreate AI-generated department digests that cite specific script versions and decision logs. This ensures every team lead knows exactly which source document is driving their current tasks.
Route feasibility to humansSet up a workflow where AI agents route questions about costs or availability to the correct human lead. This prevents the AI from inventing budget figures or scheduling fake availability.
Protect performer approvalsImplement a sign-off gate that prevents altered frames from moving to render without documented performer approval. You will apply this to ensure all synthetic changes are vetted by talent.
Stabilize agentic workflowsTest your AI pipeline to identify 'good stops' and failures. You will learn to intentionally make agents fail to ensure the system blocks work when a critical human sign-off is missing.

How it works

A tutor that meets you where you are

  1. Adaptive LessonsThe course material adjusts in real time to your current level of experience. As you move through the modules, later lessons are tailored to your specific knowledge gaps and pace.
  2. Personal AI TutorYou have a dedicated AI tutor available for one-on-one support throughout the entire course. You can ask questions about the material or request deeper examples using either text or voice.
  3. Active RecallEach lesson is paired with interactive quizzes and digital flashcards. These tools help you commit technical workflows and agent configurations to memory through targeted repetition.
  4. Progress TrackingYour advancement through every lesson is monitored via a personal dashboard. Once you have successfully completed all requirements and modules, you will receive a certificate of completion.

Curriculum

The curriculum

This 2-hour course takes you from fragmented communication to a locked-down agentic workflow across six focused lessons.

Module 1The Single Source of Truth2 lessons

  1. 1Building the Single Scene Record
    • Establish a single scene record that tracks current script versions
    • Create a shared decision log to replace fragmented communication like text messages
  2. 2Setting AI Agent Edges and Remits
    • Define 'edges' for AI agents to prevent unauthorized baseline changes
    • Assign specific remits to agents to restrict their scope of action

Module 2Managing Revisions and Conflicts2 lessons

  1. 3Processing Blue Page Revisions
    • Configure agents to ignore duplicate scripts and verify current versions with the script supervisor
    • Update only affected scene entries and cite the specific script revision
  2. 4Routing Conflicts and Feasibility
    • Build a decision log that flags conflicts between script revisions and existing footage
    • Route feasibility questions to human leads instead of allowing AI to invent costs or availability

Module 3Departmental Alignment and Sign-off2 lessons

  1. 5Generating Cited Department Digests
    • Create AI-generated department digests that cite specific script versions
    • Ensure digests pull data exclusively from the shared decision log
  2. 6Implementing the Sign-off Gate
    • Implement a sign-off gate that blocks the render queue until performer approval is recorded
    • Verify that altered frames are approved by the specific performer involved
    • Test the agentic workflow to identify 'good stops'

Who it’s for

Made for you if…

Made for: Filmmakers, producers, editors and production teams coordinating a story across development, planning and post-production

Production Coordinators

You are tired of chasing down the current version of a lookbook or searching through fragmented text threads to find a director's decision. You need a way to automate the tracking of 'blue page' revisions so you can spend less time on version control and more time on coordination.

Film Producers

You need a system that prevents costly mistakes caused by departments working from conflicting references. By establishing a single source of truth, you can ensure that no unapproved draft ever becomes the production baseline and that financial decisions remain in human hands.

Post-Production Supervisors

You often find that editorial notes attach to the wrong cut or that altered frames move to render without proper sign-off. This course helps you implement strict sign-off gates and cited digests to keep the post-production pipeline aligned with the current script.

Department Heads

You need a reliable way to receive updates that cite exactly which script revision or decision log entry they come from. This workflow ensures you aren't working from last week's reference deck while the rest of the team has moved on to a new version.

Questions

Good to know

What is an AI agent 'edge' and why does it matter?

An edge is a defined boundary that specifies what an AI agent may change, what it must never touch, and whom it must ask for permission. Setting these edges prevents unapproved drafts from accidentally becoming the production baseline.

How does this system handle 'blue page' script revisions?

You will learn to configure agents to process revisions by ignoring duplicate scripts and verifying the current version with the script supervisor. The agents are set to update only the affected scene entries and must cite the specific script revision used.

Can the AI agents estimate production costs or equipment availability?

No. To prevent the AI from inventing costs or availability, the course teaches you to build a workflow that routes all feasibility questions directly to the correct human lead.

How do 'department digests' ensure teams are aligned?

These are AI-generated summaries that pull data exclusively from the shared decision log. Because they cite specific script versions and decisions, every department knows exactly which source the instructions are coming from.

What is the 'sign-off gate' and where does it sit in the pipeline?

The sign-off gate is a mandatory check that blocks the render queue until performer approval is recorded. This ensures that any altered frames are verified by the specific performer involved before they move to final render.

How does the decision log handle conflicts with existing footage?

The shared decision log is built to automatically flag contradictions between new script revisions and captured footage. This allows producers to identify conflicts early rather than discovering them during the edit.

What is the purpose of a 'remit' for an AI agent?

A remit is a specific assignment that restricts the agent's scope of action. By assigning tight remits, you ensure that agents only perform the clerical tasks they are authorized for without overstepping into creative or financial decisions.

Establish your production baseline

$47

One payment · lifetime access

  • Tutorials on building a Single Scene Record and shared decision log
  • Workflows for setting AI agent edges and remits
  • Methods for processing blue page revisions without duplicating work
  • Systems for routing feasibility conflicts to human leads
  • Templates for cited department digests
  • Setup for performer sign-off gates ahead of the render queue

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Refunds: Full refund if you ask before you open your first lesson. Once you’ve started, purchases aren’t refundable, except where the law gives you that right.

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