How do I use AI to analyze my pacing?
- AI can map scene function and tension across a whole manuscript.
- It flags stretches where little changes or stakes stay flat.
- It is a diagnostic tool, not a prescription for the fix.
- Pacing problems are easiest to see at the structural overview level.
- The author decides what to cut, compress, or keep.
Use AI to analyze pacing by asking it to map each scene's function and tension level across the manuscript and flag stretches where stakes stay flat or little changes. That overview surfaces the slow patches that are hard to feel while reading linearly. Treat the output as a diagnosis, not a prescription — AI shows you where the pacing sags; you decide whether to cut, compress, or reorder.
Chapter i·Why it matters
Pacing problems are notoriously hard to self-diagnose because you experience your manuscript scene by scene, not as a tension curve. AI can step back and chart the whole arc, making flat stretches visible in a way linear reading hides. Keeping the fix in your hands matters because pacing solutions are craft judgments — the diagnosis is mechanical, but the remedy depends on the story you are telling.
Chapter ii·What to include
- A scene-by-scene map of function and tension.
- Flags on stretches where stakes stay flat.
- A structural overview rather than line-level notes.
- Diagnosis framing, not prescribed fixes.
- Your judgment on cut, compress, or reorder.
- A re-check after revising the flagged sections.
Chapter iii·Example
An author has AI chart tension across her forty scenes. The map shows a flat six-scene stretch in the middle where the stakes plateau. Reading linearly she never noticed it. She compresses three of those scenes into one and reorders another — her own fix, guided by the diagnostic the AI surfaced.
Chapter iv·Related questions
WriteLoom can map tension across your manuscript, so slow stretches are visible at the structural level before readers feel them.
See how WriteLoom uses AI