Reasoning Pattern
The bounded operating loop an AI uses for a task: one response, plan-execute, short ReAct exploration or generator-plus-evaluator.
A reasoning pattern describes what happens inside the agent. A bounded answer normally needs one response. A known multi-stage task benefits from plan-execute and checkpoints. Changing evidence may justify a short ReAct loop. A testable quality rubric may justify an evaluator-optimizer loop.
These are not personality labels. Every loop needs limits on iterations, tools, time and cost, plus a defined terminal state.
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