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Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.
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Based on SOC occupation classification
| name | deviation-impact-analysis |
| description | Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan. |
deviation_report.md (human readable summary)deviation_prompt.md (one-click prompt/instructions)change_impact_report.md (what future outline/chapters/canon/ledger will be affected)backup_options_report.md (conservative vs aggressive vs branch)Govern canon changes: require explicit reason/impact/retroactive policy, and produce an actionable propagation plan.
Help the author write narrative unit tests (rules/constraints) and interpret failures with a concrete fix roadmap.
Simulate multiple reader personas to score a chapter (爽点/困惑/信息负荷) and propose actionable alternatives.
Manage rewrite branches: when to branch, how to compare, and how to merge back with minimal chaos.
Maintain a structured Setup/Payoff ledger (promises, debts, payoffs) and generate a payoff roadmap.
Define what the Story Control Panel shows, how to compute signals, and how the author should act on alerts.