narrative-arc-builderlisted

# Narrative Arc Builder Turn chronology into causal structure. Keep the user or operator as protagonist and the product, designer, and AI agent as supporting forces. Read `references/five-stage-arc.md`. ## Workflow 1. Extract the protagonist, baseline, goal, inciting friction, constraints, evidence, alternatives, pivotal decision, changed state, and measured result. 2. Map only supported material into: 1. Context and baseline 2. Friction or inciting incident 3. Rising complexity and trade-offs 4. Systemic breakthrough or pivotal learning 5. Quantifiable aftermath and remaining limits 3. Identify the climax as the moment value, risk reduction, or decisive learning became visible—not automatically the launch. 4. Place research and process steps where they changed a decision. 5. Preserve branches, failures, reversals, and unresolved evidence. 6. Draft section headings that reveal the argument when read alone. Do not manufacture conflict, call a shipped feature a breakthrough without evidence, or force a positive ending. When impact is unknown, end with the strongest verified learning and the measurement plan. ## Output Return a one-sentence thesis, the five-stage arc, a pivotal-decision statement, three evidence anchors, recommended headings, and unresolved gaps. ## Example Input: ```text Operators copied agent output directly until one incorrect batch affected 240 records. We tested confirmation dialogs, full previews, and risk-tiered approvals. The risk