Agent Sightings Real agent use cases

Review a landlord deposit dispute for legal violations

Real-world thread: the tenant fed their move-out dispute into ChatGPT and Gemini, powered by the two models to cross-check each other, suggest flaws, and repeatedly re-review the case from a fresh context. From the tenant’s notes, the models flagged claimed violations covering AB2801, missing receipts and photos, corrected an overstated SF tenant fee, and Gemini drafted a formal demand letter and PDF that the tenant sent. The landlord returned the demanded $4,200 about an hour after receiving the letter, after initially trying to keep $4,200 of a $5,000 deposit.

Agent or tool
ChatGPT
Topic
Knowledge & Notes
Reported on
Reddit
Added
2026-10-15

Why it matters

Notes are only useful if you can find and connect them later. Agents that organise, summarise and link information make a personal knowledge base far easier to keep up. It is one of 44 sightings filed under Knowledge & Notes on Agent Sightings (number 4 by interest), and one of 29 involving ChatGPT.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into ChatGPT or any similar agent and adjust the details to your situation.

Notes task: review a landlord deposit dispute for legal violations. Propose edits as a checklist, apply after approval, and finish with a short handover.

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Reddit: https://www.reddit.com/r/OpenAI/comments/1tbkg2u/chatgptgemini_saved_me_4200_fr…. Our summary is a paraphrase; details are in the source.

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