40 prompts for building claim documentation that holds up — 10 for evidence, 8 for loss valuation, 8 for submission, 8 for appeals and disputes, and 6 for recovery and follow-up. Written to organise the facts you already have, never to invent them.
Damage inventories, photo narratives, incident timelines, witness statement formatting, police and fire report summaries, room-by-room assessments.
Replacement cost, depreciation schedules, lost-income projections and comparable market valuations.
Demand letters, Schedules of Loss, responses to lowball offers, and packaging it all into one complete submission.
Appeal letters citing policy language, complaint narratives for state insurance commissioners, denial responses, independent appraisal requests.
Additional living expense logs, medical appointment and prescription tracking, ongoing impact documentation, communication logs.
Prompts instruct the AI to use only the details you provide — the report summariser says "do not fabricate details" in the prompt itself.
Homeowners filing property damage claims (fire, water, storm, theft), renters documenting loss of use and personal property, auto claimants including total-loss valuation, business owners filing interruption claims, and anyone appealing a denial who wants their paperwork to be airtight.
Not if you use the prompts as written. They are built to work from the facts, photos, receipts and notes you supply, and several state it explicitly in the prompt text — the report summariser instructs the AI not to fabricate details. Replacement costs and depreciation still need checking against real quotes; treat every figure as a draft to verify.
ChatGPT, Claude, Gemini — any modern chat AI. No paid tier required.
No, and be sceptical of anything that says otherwise. What good documentation does is remove the easy reasons to deny or underpay — missing inventories, vague narratives, no timeline, no valuation basis. The decision stays with the insurer.
