What is an AI agent loop?
An agent loop repeats a defined cycle of observing, acting, and verifying until an explicit condition is met. The stop condition prevents a useful iterative process from becoming an endless one.
A loop is a contract: what repeats, what changes, and what ends the cycle. Preview the behavior, then copy the prompt into Claude Code, Codex, Cursor, or your agent of choice.
An agent loop repeats a defined cycle of observing, acting, and verifying until an explicit condition is met. The stop condition prevents a useful iterative process from becoming an endless one.
Copy the loop's prompt, adapt its inputs and finish condition to one repeatable job, then package it in SKILL.md with a clear trigger description and outcome test. The agent skill guide covers the complete format and publishing process.
Turn a goal into a plan, perform one safe step, then verify the result before continuing.
Keep the failure reproducible while applying the smallest fix that makes it disappear.
Gather primary evidence, combine it into an answer, then attack the weak claims.
Create a candidate, score it against explicit criteria, then improve only what scored poorly.
Continuously update a decision from changing conditions instead of following a stale plan.
Review work against a fixed brief and revise concrete mismatches until none remain.
Choose a tool from the current evidence, use it, and feed the real result into the next decision.
Retry transient failures with increasing delays while preserving a hard attempt limit.
Pause before consequential actions and continue only after a person approves the exact change.
Split independent work, integrate the returned evidence, and check the whole result together.