← Back to CoursesAgentic AI: Intermediate

Neuroanatomy Explorer

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Memory Deck

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The Agent Loop in 3D

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Reflection, Verification, and Self-Correction

Manual: General · Subject: Agentic AI

Cover how agents inspect their own outputs, detect errors, and improve reliability through critique and verification.

Closing the Loop

Why Reflection Is Needed

Agents often improve when they review their own intermediate outputs. Reflection helps them detect missing assumptions, inconsistent steps, shallow reasoning, and unsupported claims.

Verification vs Reflection

Reflection is internal critique; verification is checking against an external source of truth. A strong agent uses both. Reflection improves the draft, and verification tests whether the draft is actually correct.

Reflection and Verification

Reflection

  • Looks for internal consistency
  • Helps revise plans and explanations
  • Can be done without external tools

Verification

  • Checks facts or outputs against evidence
  • Uses tools, tests, or trusted sources
  • Reduces reliance on pure model confidence
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Good Practice

Ask the agent to justify claims, cite evidence where available, and run checks before finalizing high-stakes outputs.

What is the difference between reflection and verification?

Name one way an agent can verify a claim.

Self-Correction Loop

  1. 1

    Step 1: Draft an answer or plan.

  2. 2

    Step 2: Critique it for gaps and errors.

  3. 3

    Step 3: Verify key claims with tools or tests.

  4. 4

    Step 4: Revise the output.

  5. 5

    Step 5: Repeat if confidence is still low.

Which is the best reason to use both reflection and verification?