From Logline to Finished Episode: The AI Drama Pipeline, Step by Step

Direct Answer: An AI drama pipeline is not a list of tools, it is a sequence of gates. Each stage produces one artifact that the next stage consumes, and nothing advances until the artifact passes. The economic reason is simple: a script problem costs minutes to fix at the script stage and hours to fix at the generation stage. The pipeline exists to keep every mistake in the cheapest stage that can catch it.

The Stage Gate Model

The single most expensive mistake is skipping the shot list. Without it, generation becomes improvisation, and improvisation produces footage that cannot be assembled.

Step 1: Lock the Logline

Write the premise in one sentence: a protagonist who wants something, blocked by an obstacle.

• Weak: "A story about a woman and her boss." — no want, no obstacle
• Workable: "A contract interpreter who must decide whether to reveal the clause that will destroy her sister's marriage."

Why it matters: the logline is the rejection test. Every scene that survives the season will be traceable back to that want and that obstacle.

Step 2: Map the Episode Hooks

Break the season into episodes. For each one write:

Rule that holds: if an episode answers the question it ends on, the next episode has no reason to exist.

Step 3: Write Scripts as a Batch

Draft all episode scripts before generating a single frame.

This feels slower and is dramatically faster. Script revision is text editing; video revision is re-rendering, re-checking consistency, and re-cutting. A script problem caught at the script stage costs minutes. The same problem caught after generation costs hours and often breaks continuity across episodes that were already finished.

Step 4: Convert the Script into a Shot List

Each row is one generation request:

Why this is the keystone: the shot list converts prose into a work order. It also makes cost predictable — you can count your shots before you spend your credits.

Step 5: Generate in Batches by Setup

Group shots by character + location + lighting, then run each group as one batch.

Batching keeps the model in a single visual register, which reduces the warm-up variance that makes the same character look slightly different between runs. It also makes failures cheap to spot: if a batch looks wrong, the whole batch is wrong, and you fix the setup once.

Step 6: Cut to Picture Before Final Voice

Assemble the rough cut using placeholder audio.

Pacing is a picture decision. If you record final voiceover first, you will cut the picture to the performance — and then every structural change requires re-recording. Cut to picture, lock the structure, then lay in the real performance.

Step 7: Gate Every Stage

Before advancing, answer one question: can this problem be fixed more cheaply in the current stage?

If yes, fix it here. If no, it is not a problem, it is a constraint — document it and move on.

Pipeline Checklist

• [ ] Logline contains protagonist, want, and obstacle
• [ ] Every episode ends on an open question
• [ ] All scripts finished before any generation
• [ ] Every scene has a shot list row
• [ ] Generation grouped by setup
• [ ] Rough cut locked before final voice
• [ ] Vertical master with burned-in captions

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