Loop/Prompt Library / Running AI agents well
🔁 Should we add a loop?
Looks at your project's recurring chores and failures and recommends at most one new loop to try.
Use it when: You have ideas for automation but are not sure which are worth adopting.
🛑 Stops when: A shortlist of up to three loops with one recommended trial, or a clear 'no new loop needed'.
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Decide if [project] needs a new recurring AI loop. Review goals, repeated failures, recurring chores, and current automation. Check the published Loop Library (signals.forwardfuture.com/loop-library) for an existing loop that fits the biggest gap; prefer reusing one. Keep at most [3] candidates. For each, define the trigger, inputs, permissions, success check, budget, stop rules, and when to retire it. Recommend one manual trial. Do not install or schedule anything without my approval.
Review every change the agent makes before you keep it. Set a budget or round limit — the prompt includes one.
Idea from Forward Future's Loop Library · by Eric Lott. Prompt rewritten in plain English by FixKit AI.
More loops like this
Agent workspace health check
Reads a project's notes and state, without changing anything, and grades whether a new agent could safely pick up the work.
Stop and check before continuing
After an agent finishes a task, it reports what is done and whether the next step is safe, then waits for you.
Clean handoff note
Before a session ends, writes a note so the next person or agent can continue without guessing.
Predict, act, check
Before every meaningful action, the agent writes what it expects to happen, then checks if that is what really happened.
Lessons that stick
Keeps a playbook of lessons from repeated runs, tests one lesson at a time, and only keeps lessons that keep working.
Fair-test experiments
Improves a prompt or piece of code through saved, fairly compared experiments that can pick up again later.