Hasty Briefsbeta

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Prompts Aren't Real

4 hours ago
  • Propose building interlocking evaluation and optimization pipelines instead of just exchanging text with LLMs.
  • Making reliable agentic experiences for consumers is challenging; LLMs fail subtly and sometimes simply.
  • Structured output helps but models still fail a small fraction of requests; fixes can be arbitrary (e.g., renaming field).
  • Prompts are not the core; they are vectors whose textual content is unimportant; measurement is key.
  • Use pass^k tests to measure behavior, then optimize prompts automatically via algorithms like genetic Pareto.
  • Build LLM judges for complex evaluations (e.g., brand voice) using golden datasets and optimization.
  • Create a self-improving feedback loop: monitor production, convert failures into test cases, re-optimize.
  • Domain experts should focus on building datasets and measurements, not crafting prompts.
  • Without measurement, the path leads to madness; self-correcting systems are essential for enduring reliability.