Loop/Prompt Library / Running AI agents well
🔁 Predict, act, check
Before every meaningful action, the agent writes what it expects to happen, then checks if that is what really happened.
Use it when: An agent is about to change code, files, or systems where wrong assumptions could cause damage.
🛑 Stops when: The goal is reached, a prediction fails badly, or there is no good next step.
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Before each meaningful action on [task], write a short snapshot: known facts, unknowns, constraints, my goal, and your permissions. Name the risky assumption you are tempted to make. Propose the smallest useful next step and predict what should change, what should not, and how you will confirm it. Act only if it is in scope. Then compare prediction vs reality and log it. Continue only if the picture still holds. Stop after [10] actions, a big surprise, or my approval is needed.
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 Nishant Dodiya (@NishantDodiya4). Prompt rewritten in plain English by FixKit AI.
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