Knaph

Checking an agent's work

Treating an agent's report as a claim to check, not as proof - asking for the real evidence (the command and its output), reading the diff, running it yourself or having a fresh agent review it - and better still, giving the agent tests or scripts so it can check its own work in the loop, against a definition of done agreed in advance.

Depth 1 · Foundation

You can explain why an agent's "done" can be wrong without anyone lying, and check its work through evidence rather than its summary.

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Depths of understanding

  1. 1

Your path here

What's still between you and Checking an agent's work, depth 1, in the order you can learn it.

  1. 1Language modelDepth 1 · Foundation · Language Models
  2. 2AI agentDepth 1 · Foundation · AI Agents
  3. 3TokenDepth 1 · Foundation · Language Models
  4. 4ProbabilityDepth 1 · Foundation · Probability
  5. 5Next-token predictionDepth 1 · Foundation · Language Models
  6. 6Stateless modelDepth 1 · Foundation · Language Models
  7. 7Context windowDepth 1 · Foundation · Language Models
  8. 8System promptDepth 1 · Foundation · Language Models
  9. 9Tool useDepth 1 · Foundation · AI Agents
  10. 10Agent loopDepth 1 · Foundation · AI Agents
  11. 11BeliefDepth 1 · Foundation · Epistemology
  12. 12KnowledgeDepth 1 · Foundation · Epistemology
  13. 13TestimonyDepth 1 · Foundation · Epistemology
  14. 14Checking an agent's workDepth 1 · Foundation · AI Agents

Where it fits