For the complete documentation index, see llms.txt. This page is also available as Markdown.

Best practices

Stratix best practices — quick reference for new users.

Evaluations

  • Pick 3-5 benchmarks that match your task; resist "more"

  • Re-evaluate quarterly as the model frontier moves

  • Use spaces for stable configs; one-offs for exploration

Judges

  • GEPA-optimize against ≥30 labels

  • Hold out a validation set

  • Watch for over-fit (validation agreement << training)

Continuous evaluation

  • Sample production traffic; full corpus is rarely worth it

  • Anchor with deterministic rules; reserve judges for residual subjective bar

Govern

  • Wire CI gates after you've trusted the eval interactively

  • Per-feature tolerances — not every feature has the same bar

See also

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