LLM Learning Path
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Harness engineering — tame nondeterminism

Workflows, checks, and evals to keep LLM outputs within bounds.

Why harnesses

LLMs are not deterministic like classic software. Outputs can drift. A harness is the surrounding system: prompts, tools, validation, retries, human review, monitoring, regression sets.

Start small

  • Add an acceptance checklist (format, fields, forbidden content).
  • Keep good/bad examples as you iterate.

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Further reading