What I deliver

Engineering discipline beats model quality. Four areas where I turn fuzzy goals into systems that still work after go-live — no theater, no demo dressed as a result.

• Specification & Translation

  Fuzzy business goals become testable requirements — before the first line of code.

  For whom: Teams with a prototype that is stuck, or a spec nobody can test.

  The project phases →

• Evaluation & Measurement

  Prove it ships — measured independently, not self-graded. A corpus, independent annotators, a real statistic.

  For whom: Any board claim you cannot back today.

  Case study: ClauseSentry (κ = 0.71) →

• Production & Governance

  So it survives go-live: enforce properties outside the prompt, provenance for every output, the seven roles filled.

  For whom: Regulated domains and systems nobody can explain today.

  The seven roles →

• Sovereignty & Enablement

  Your team is more capable afterwards, not more dependent. AI as a tutor, not a ghostwriter.

  For whom: Organizations adopting AI without surrendering their own judgment.

  Essay: staying sovereign →

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