4-lesson course · about 2 hours
Handling Missing Shots and Delayed Reviews Without Losing the Plan
For Filmmakers, producers, editors and production teams coordinating a story across development, planning and post-production
Everything for FilmmakersFor post supervisors and producers: Learn to deploy bounded AI agents that track missing coverage and delayed reviews in real time, generating realistic replanning options for human approval.
What you’ll be able to do
By the end, you can…
How it works
A tutor that meets you where you are
- Adaptive Learning PathThe course content is not static. Lessons automatically adapt to your current skill level, ensuring the material remains challenging but accessible as you progress through the modules.
- One-on-One AI TutorYou have a dedicated AI tutor available throughout the entire course. You can ask for clarification on any concept or dive deeper into a topic using either typed text or spoken voice commands.
- Reinforced KnowledgeEvery lesson is paired with specific quizzes and digital flashcards. These tools are designed to test your retention of key concepts and ensure you have mastered the material before moving forward.
- Progress and CertificationThe platform tracks your completion of each lesson in real time. Once you have successfully finished the curriculum and passed the assessments, you will receive a certificate of completion.
Curriculum
The curriculum
This two-hour course is divided into two modules focused on automation and human-in-the-loop approval.
Module 1Tracking Production Gaps2 lessons
1Configuring Bounded Tracking Agents
- Define 'edges' for AI agents including what wakes them and what they must never touch
- Configure an agent to identify missing shots based on script revisions
- Set a hard line to prevent agents from inventing costs or availability
2Maintaining the Live Gap List
- Generate a gap list that flags missing media instead of substituting versions
- Distinguish between photographed material and generated fillers in the record
- Track pending review sessions and identify slips in the post schedule
Module 2Replanning and Approval2 lessons
3Generating Replanning Options
- Draft multiple schedule replanning options based on a live gap list
- Identify conflicts where missing coverage prevents dependent work from proceeding
- Present AI-generated options for human producer approval
4Implementing the Consent Gate
- Implement a sign-off gate that blocks altered frames without performer approval
- Verify performer likeness and consent for every AI-generated or altered shot
- Place the final sign-off immediately ahead of the render queue
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
Post Supervisors
You are tired of managing a post schedule that feels like fiction. This course helps you move from manual tracking to using bounded AI agents that maintain a live gap list of missing pickups and pending reviews.
Editors
You need to know exactly what is photographed and what is a generated filler before you start a cut. Learn to implement a sign-off gate that prevents altered frames from entering the render queue without performer consent.
Producers
You are the final decision-maker on the schedule and budget. Instead of chasing updates, you will learn how to use AI to generate multiple realistic replanning options that you can approve or reject based on real coverage gaps.
Production Coordinators
You handle the friction between production and post. This course teaches you how to configure agents that identify missing shots based on script revisions without inventing costs or crew availability.
Questions
Good to know
Which AI tools will I learn to use for tracking and coordination?
The course focuses on the use of proactive agents, specifically Dots (OpenAI) and Claude Duet (Anthropic). You will learn to use these tools to coordinate production gaps and manage schedules.
Does this course teach me how to prompt AI to generate the missing footage?
No, prompt engineering for visual generation is explicitly excluded. The goal is to manage the tracking, scheduling, and approval of material, regardless of how it was created.
How does the course prevent AI from making up fake costs or dates?
You will learn to configure 'bounded' agents with strict edges and hard lines. This prevents the AI from inventing production costs, crew availability, or safe operating instructions.
What is a 'live gap list' and how is it maintained?
It is a real-time record that identifies missing media and pending reviews based on script revisions. The system flags missing shots instead of substituting other versions and distinguishes photographed material from generated fillers.
Can the AI autonomously change my production schedule?
No. The AI is used to draft multiple replanning options based on missing coverage. These options are presented to a human producer who must then approve or reject the changes.
How are performer likenesses and union concerns addressed?
The course teaches you to implement a sign-off gate to verify likeness and consent for every altered or generated shot. This gate ensures no altered frames enter the render queue without explicit performer approval.
What happens if a script revision conflicts with already captured footage?
You will learn to configure agents to identify these conflicts. The agent flags the issue and holds dependent work until the director or producer makes a decision on how to proceed.
Who is this course intended for in the post-production pipeline?
It is designed for post supervisors, editors, and producers. It addresses the specific problem of slipping review schedules and post-production timelines that are no longer accurate.