TOOLS & PATTERNS
AI prototyping & knowledge patterns
Making ideas tangible early—prototypes, retrieval, and pragmatic guardrails.
Prototypes that reduce ambiguity
I use quick prototypes to make the workflow visible—before teams commit to production investments. The goal is to surface edge cases, clarify constraints, and align stakeholders on what success actually looks like.
Retrieval and grounding
Effective AI work depends on trustworthy context. I help teams decide what knowledge belongs in a system, how to keep it current, and how to shape retrieval so outputs stay anchored to real sources.
Guardrails, evaluation, and cost
I focus on pragmatic guardrails: evaluation criteria, cost limits, and safe fallbacks. That lets teams explore AI capabilities while keeping reliability and accountability in view.
Want to talk this through?
If you’re exploring AI prototypes or knowledge systems, I can help shape the path and hand off a clear build plan.