AI Workflow Assessment
Evaluate how your team's current development process holds up under AI-assisted development. Identify where specification quality is the bottleneck and where AI is introducing risk you're not yet measuring.
Vista, California
AI coding tools are fast. Most teams are not ready for what that speed exposes — in their specifications, their architecture, and their process. I help established engineering teams get the methodology right.
AI coding changes which parts of software development matter. Implementation is no longer the expensive constraint — specification quality is. Teams that import AI tools into existing Agile workflows without changing anything else discover this the hard way: invisible structural drift, accumulated technical debt, and code that looks correct but doesn't realize what was actually intended.
My consulting practice is built on three original research papers that examine this problem from three angles — methodology, architecture governance, and verification — and propose a connected framework for addressing it: the Stratified Behavioral Refinement (SBR) framework. I work directly with engineering teams to assess their current practices and introduce the discipline that makes AI generation trustworthy.
Hands-on engagements grounded in the SBR framework and its companion methodology research.
Evaluate how your team's current development process holds up under AI-assisted development. Identify where specification quality is the bottleneck and where AI is introducing risk you're not yet measuring.
AI generates structural decisions silently and at speed. Implement continuous, specification-anchored governance that prevents architectural drift before it accumulates sprint by sprint.
Introduce the Stratified Behavioral Refinement framework: trust boundary, three-level test pyramid, and BDD grounding proof. A structured chain that makes AI code generation verifiable at every level of implementation.
Embedded working sessions with your engineering team: specification writing, BDD scenario design, test pyramid construction, and the AI generation discipline that keeps the process honest.
MarigoldShare is a community mobile app for borrowing and lending physical items — tools, sports gear, kitchen appliances, books, and more — within trusted groups of friends. Instead of buying something you'll use once, borrow it from someone in your community.
Currently in Phase 1 limited release and approaching MVP. Built using the SBR framework methodology in practice.
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