Summarize an insurance denial letter for an appeal
The poster used an AI assistant to summarize a denial PDF to draft an appeal, but it invented an appeal deadline.
An agent checks what happened to a flight, works out compensation owed under the law, and fills in the airline's claim form, stopping before Submit.
An agent checks what happened to a flight, works out compensation owed under the law, and fills in the airline's claim form, stopping before Submit.
Given a flight number and date, the agent converts the airline code, scrapes FlightAware gate times, and cross-checks them against AirHelp. A model reads the regulation live from legislation.gov.uk, and a built-in table of rules checks the amounts. It then fills Air India's claim form in a cloud browser, with an injected lock that blocks any submission.
On Air India AI162 it found a 207-minute delay and an entitlement of £260 to £520. A full claim takes two to five minutes. A small model mis-filled fields, and 8 of 10 submit-trap pages got past the first text-based rule.
Each claim costs about 14 Anakin credits. Use a capable model (gpt-5-mini worked, gpt-4.1-nano mis-filled fields), and block submits in the page itself, not by matching button text.
Check what happened to my flight [flight number] on [date] using public flight tracking sites, and work out whether I'm owed compensation under [EU261/other rule]. Then open [airline]'s claim form and fill it in using my details: [name, booking reference, contact info]. Stop before clicking Submit and show me the completed form and the amount you're claiming.
The poster used an AI assistant to summarize a denial PDF to draft an appeal, but it invented an appeal deadline.
A tenant used ChatGPT and Gemini to review a landlord's apartment deposit dispute, identify legal violations, and avoid losing $4,200.
Poster used Claude over a weekend to plan and build a self-hosted app that organizes receipts for an accountant and replaces paid bookkeeping software.