Review a landlord deposit dispute for legal violations
A tenant used ChatGPT and Gemini to review a landlord's apartment deposit dispute, identify legal violations, and avoid losing $4,200.
A personal OpenClaw agent spots vet charges in the bank feed, finds the invoice in Gmail, fills the insurer's PDF form, drafts the email and tracks replies for the owner to review and send.
A personal OpenClaw agent spots vet charges in the bank feed, finds the invoice in Gmail, fills the insurer's PDF form, drafts the email and tracks replies for the owner to review and send.
The owner uploads a bank CSV by hand, since the agent never stores bank logins. On a 15-minute tick the agent flags vet charges, searches Gmail for the matching invoice, and uses an LLM (Gemini) to extract it, falling back to OCR for scans. It fills the Petcover PDF, creates a Gmail draft, and asks on Telegram when unsure. It never sends.
Across ten live approval letters, its settlement arithmetic check passed to the cent, and a second check raised questions on five. Early bugs: its own request emails false-matched 12 claims, and old acknowledgements pushed two settled claims backwards.
Gmail OAuth in testing mode expires every 7 days, so you must re-authenticate regularly; the free Gemini tier needed a chain of fallback models once daily limits ran out.
Scan my [bank account or statement] for vet charges from the last [timeframe], find the matching invoices in my email, and fill out [insurer]'s claim form with them. Draft the claim email with the form and invoice attached, and finish by showing me the drafted claim. Don't send anything until I approve it.
A tenant used ChatGPT and Gemini to review a landlord's apartment deposit dispute, identify legal violations, and avoid losing $4,200.
The poster used an AI assistant to summarize a denial PDF to draft an appeal, but it invented an appeal deadline.
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.