FixKit AI

Loop/Prompt Library / Loops from builders on X

๐Ÿ” Undo a bad release when two of three alarms go off

After a release, the AI watches three warning signs. If two go off, it undoes the release; otherwise it sends a person a ready-made recommendation.

Use it when: You release updates often and want bad ones undone fast, but not on a single false alarm.

๐Ÿ›‘ Stops when: The release is undone, or a person gets the recommendation, or the watch window ends quietly.

Copy this loop

For [time window, e.g. 60 minutes] after each release of [app], watch three signs every [5] minutes: 1) error rate up more than [X]% from before the release, 2) slow responses lasting more than [Y] minutes, 3) how many users or features are affected (estimate). Agree with me ahead of time on each threshold. If 2 of 3 cross their thresholds, undo the release using [rollback steps] and tell me right away. If only 1 crosses, don't undo; send the on-call person the numbers and your recommendation. Never touch the database. Stop when the window ends, or after one rollback.

Review every change the agent makes before you keep it. Set a budget or round limit โ€” the prompt includes one.

Found on X ยท by @venisasarah. Prompt rewritten in plain English by FixKit AI.

More loops like this

One useful thing every night

You give the AI a short mission, and each night it picks one task that moves you closer and leaves it for you to check in the morning.

Two watchers keep your agent healthy

Two separate AI helpers read your main agent's logs, find what broke, and must both agree on a fix before it is used.

Weekly skill cleanup

Once a week, the AI grades every saved skill or saved prompt it uses, removes the dead ones, and merges the repeats.

Overnight drafts that learn from results

Each night the AI drafts tomorrow's post from your content plan, and reads your notes about what worked before it writes the next one.

Split the work, keep only what passes

Splits a big job across several AI helpers working side by side, checks each one's work, and keeps only the work that passes.

Practice a website task until it's reliable

The AI tries a website chore, learns from each failed try, and keeps adjusting until it has steps that work every time.