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Reference engagement

Evaluation Harness & Regression Gates

Keep quality stable: golden sets, automated evals, and release gates for prompt/model changes.

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// Delivery pattern

This page describes a representative engagement of this shape — how the system is scoped, built, and handed over. Specific figures reflect typical outcomes of the pattern when delivered with the operational discipline described on the About page. Named customer engagements are shared under NDA on request.

Engagement shape

Typical outcomes

  • Stable quality
  • Safer releases
  • Fewer surprises in production

Stack

  • Golden sets
  • Scoring
  • CI gates
  • Versioned prompts

Typical timeline

2–4 weeks

kick-off to handover

Risks & guardrails

  • Golden sets rotting — schedule periodic refresh; stale tests give false confidence
  • Over-reliance on judge models — validate judge accuracy against human ratings before using as sole gate

Problem

Prompt and model changes can silently break behavior. Without evals, teams ship regressions and only discover issues from users.

Solution

  • Golden test sets for critical workflows
  • Automated scoring (rules + judge models where appropriate)
  • Release gates in CI for prompt/model deployments
  • Versioning and rollback paths

CTA

If you ship AI to users, you need regression protection. We’ll set up evals and gates.

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Does this pattern fit your situation?

Tell me the system you're trying to integrate and the outcome you're measured on. You'll get a clear next step — a readiness audit, a prototype plan, or a delivery proposal.