Author: AILesson8 min setupTested with:ChatGPTReviewed: 2026-08-28
Quick answer
Trace causality, knowledge, motivation, setup, payoff, tension, and scene load without replacing the writer's story. Provide: Story outline, Story design and intended experience, Review scope and protected choices. Expected result: A prioritized outline diagnosis with minimal repairs and pacing alternatives.
1
Add your context
Your text stays in this browser. AILesson Prompts does not send it to a model or server.
2
Your prompt
Unfilled fields remain visible as placeholders, so you can still copy and edit the prompt
Review the outline for causal logic and pacing while preserving the writer's fixed choices.
Numbered outline with viewpoint, time, location, knowledge, decisions, and consequences:
[outline]
Genre, audience, length, premise, arcs, promises, desired rhythm, and intentional ambiguity:
[design]
Known concerns, fixed events, spoiler permission, boundaries, and alternative scope:
[review]
First restate the apparent story engine and protected choices. Build a beat dependency trace: what causes each event, what each character knows and wants, what changes, and what later payoff it prepares. Flag only gaps supported by the outline—missing cause, impossible knowledge, inconsistent timing/location, unearned choice, coincidence, dropped setup, repeated function, false escalation, absent consequence, or viewpoint breach. Distinguish mystery from confusion and slow tension from inactivity using intended genre and length. Estimate relative space and scene function rather than inventing exact page counts. Prioritize blockers, then material opportunities, then preferences. For each issue cite beat IDs, reader effect, diagnosis confidence, and the smallest repair that preserves the premise; offer alternatives only where allowed and state trade-offs. End with a revised beat order or change list, unanswered author questions, and checks for setup/payoff, causal continuity, escalation, breathing room, climax, and aftermath.
Private by defaultPrompt assembly happens locally in your browser. Avoid placing confidential information into any AI service unless your organization allows it.
From input to outcome
A worked example
See how concrete context turns this recipe into a usable result
Actual input
Story outline
B1 Mara receives an anonymous photo of tomorrow's newspaper showing a bridge closure. B2 She tells nobody and cancels her bus ticket. B3 At work colleague Ivo says the photo is fake, though he has not seen it. B4 Mara finds the bridge engineer's private address in a public phone book. B5 She visits; engineer immediately believes her because his clock stopped. B6 They rush to bridge; police block them. B7 Ivo appears with the original camera and admits sending the photo to stop an accident he somehow foresaw. B8 Bridge closes safely; Mara forgives Ivo. B9 Epilogue explains the clock predicts disasters.
Story design and intended experience
5,000-word speculative mystery, close viewpoint Mara. Promise: ambiguous whether the photo is supernatural until late. Focus on trust; brisk middle, short reflective aftermath. Fixed: future newspaper photo, bridge is safely closed, Ivo sent it. No romance.
Review scope and protected choices
Spoilers allowed. Concern that reveal feels convenient and middle drags. B1/B8 fixed outcomes; other beats movable. Offer minimal and one bolder alternative. Do not resolve the mechanism completely.
Example output
Story engine: Mara must decide whom to trust while acting on unverifiable future evidence. Blockers: B3 gives Ivo impossible knowledge unless it is deliberate leakage; B4's public private-address lookup is implausible and does not follow from B2; B5 replaces earned persuasion with an unrelated clock; B7 supplies foresight, camera, confession, and rescue at once; B8 forgiveness has no tested choice or consequence. B9 then over-explains a mechanism the design says should remain ambiguous.
Minimal repair: in B3 Ivo sees a corner of the image and dismisses it too quickly, planting suspicion. Replace B4–B5 with Mara using the public bridge-maintenance office and presenting a verifiable detail visible in the photo; the engineer investigates rather than instantly believes. Let B6 result from Mara's earlier silence: police lack context. Split B7: evidence from Ivo's camera supports authorship, but his reason remains partial; Mara chooses to share the photo despite betrayal, enabling the safe closure. B8 becomes conditional trust, not instant forgiveness. Cut B9 or make the stopped clock an unexplained echo.
Bolder alternative: reveal Ivo's authorship at midpoint, shifting mystery from “who” to whether Mara can use compromised evidence. This improves causal escalation but sacrifices the late sender reveal. Author must decide what observable detail can justify closure and what Ivo risks by admitting authorship.
Why this works
1
Beat-level evidence separates structural problems from a reviewer's taste.
2
Minimal repairs protect the author's intent while making consequences and pacing visible.
Check the result
Is every diagnosis tied to numbered beats and the intended genre experience?
Are causality, character knowledge, timing, setup/payoff, and consequences traced?
Do proposed repairs preserve fixed choices and state their trade-offs?
Use it with confidence
Frequently asked questions
Practical answers about when to use this recipe, what to provide, and where human review still matters
What should I prepare before using “Review a story outline for logic and pacing”?
For “Review a story outline for logic and pacing,” prepare Story outline, Story design and intended experience, and Review scope and protected choices. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.
When is the “Review a story outline for logic and pacing” result not ready to use?
The result is not ready if it does not yet deliver the stated outcome—A prioritized outline diagnosis with minimal repairs and pacing alternatives—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.
Which AI tools have recorded tests for “Review a story outline for logic and pacing”?
The published test record for “Review a story outline for logic and pacing” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.