Agentic AI
Reflection
Agentic AI· Advanced
Definition
A technique where an AI agent reviews its own outputs or actions, identifies errors or improvements, and revises its approach before proceeding. Reflection adds a self-correction loop that improves output quality without requiring human intervention at every step.
Maxx Stacks Context
Maxx Stacks context: MSIL agents apply reflection checkpoints after high-stakes actions — the agent verifies its output meets quality thresholds before committing.
Enterprise Context
Reduces hallucination rates in long-form generation tasks, legal drafting, financial modeling, and technical documentation.
Tags
#self-correction#quality#agentic
MS
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