An agent-loop guide says good systems need eight separate exit conditions
blaizedsouza · x · 2026-07-21
The post shares a framework for agent loops that uses eight separate exit conditions instead of relying on a single stop signal.
The visible examples include:
- goal met: an evaluator scores the output against a rubric and stops the run on pass
- turn cap: a hard maximum on iterations, enforced by the harness
- budget cap: a token or dollar limit
- wall clock: a real deadline
- no progress: hash the state each turn and stop after repeated identical states
The quoted article argues that the best agent engineers stopped writing better prompts and started writing better loops.
Related event: New Trend in AI Agents: Replacing Manual Prompts with Automated Loops(5 posts)→
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