What I deliver
Engineering discipline beats model quality. Four areas where I turn fuzzy goals into systems that still work after go-live â no theater, no demo dressed as a result.
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Specification & Translation
Fuzzy business goals become testable requirements â before the first line of code.
For whom: Teams with a prototype that is stuck, or a spec nobody can test.
The project phases â -
Evaluation & Measurement
Prove it ships â measured independently, not self-graded. A corpus, independent annotators, a real statistic.
For whom: Any board claim you cannot back today.
Case study: ClauseSentry (Îș = 0.71) â -
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 â -
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 â