His agent audited what his clients' software did to his relays

He runs Nostr relays for clients. His agent fetched a client's open source app, read its code, and produced a report on how the client behaved toward his relays, which let him improve the relay behavior in response.

How it works

Agent fetches the client's open source code
Audits how it talks to his relays
Writes a behavior report
He adjusts the relays based on it

Why it’s worth knowing

The agent read the other side's code, which turned a guessing argument into a list of facts.

Where it’s from

Summarized from a public post on njump.me. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be

2The prompt, with the steps

3The check when it’s done

Upgraded prompts are coming soon.

Try next

WorkFind me 48 school-district customers and draft each pitch — one replied, booked and paid WorkA contractor talks measurements into his phone and QuickBooks sends the estimate in 45 seconds WorkA solo seller's daily production plan pulls orders from four shops at once WorkA review engine asked his past customers for reviews and got three five star ones on day one

Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.