Writing on AI filmmaking and structured production.
This is not a blog. It is a record of thinking about a specific problem: how AI filmmaking workflow breaks continuity, and what kind of structure actually preserves the memory of a film over time.
Notes cover workflow, structure, continuity, prompts, references, takes, decisions, and the problem of returning to a project and understanding it. They are written to be useful to filmmakers working with AI generation tools — not as marketing, not as tutorials.
How to organize an AI film project
Most AI film projects do not become difficult because they generate too many files. They become difficult because decisions lose context.
Read →Why AI filmmaking workflow breaks continuity
A practical explanation of why prompts, references, takes and decisions lose context in AI filmmaking, and why continuity breaks even when the visuals look good.
Read →Returning to a project after weeks
Why AI film projects become hard to understand after time passes, and what kind of structure preserves prompts, references, takes and decisions across sessions.
Read →Published when ready — not on a schedule.
What a take actually is — and why it matters
The take is the most important unit of memory in AI filmmaking. Understanding what belongs inside one is what separates fragmented workflow from structured production.
In preparationEditorial writing. Not a content strategy.
Notes exist because the problem Rewake is built to solve is not self-evident. AI filmmaking workflow is new enough that most filmmakers are still navigating it without established patterns.
The goal of these notes is to make the problem — and the thinking behind the solution — clearer and more useful. They are written from the perspective of someone building a system for this problem, not from a neutral observer.
Notes are published when they are substantive. There is no publishing schedule and no content volume target.
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