James Williams
I lead design at Sparq, an AI-native engineering consultancy. I design and build the systems underneath how work happens: the structures, constraints, and tooling that make good judgment repeatable. Right now that means building harnesses: the constraints, evidence, and checks that keep AI agents honest. VERA is the first, an agent that writes discovery deliverables from an evidence log and refuses to sound more certain than the evidence behind it.
Harness Construction
How do we make harnesses for phases of our process AI model agnostic and how do those harnesses connect and feed one another.
AI Agents & Tools: VERA & Stacks
Discovery deliverables generated from a structured evidence log, with confidence carried into every sentence so a roadmap never claims more than the research behind it. Stacks is the companion surface where that evidence lives.
Live Org Relationship Map
How does an AI-native SDLC operate today with shared context amongst projects. How do we create golden data sets, and make seemingly large efforts repeatable and consistent.