Build AI Agents with Three Fundamentals
A practical framework for designing agent systems around memory, model inference, and the capabilities that make action possible.
How I Help
Focused engagements delivering measurable AI outcomes
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AI Strategy & Roadmap
Define your AI vision, identify high-impact use cases, and build a phased roadmap from prototype to production. Technical due diligence for AI investments.
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Custom LLM Applications
End-to-end development of production LLM systems: RAG pipelines, agent frameworks, fine-tuning, evaluation suites, and scalable inference infrastructure.
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Team Enablement & Training
Hands-on workshops and ongoing advisory for engineering teams. Prompt engineering, eval-driven development, observability, and AI safety practices.
Open knowledge
Learn the patterns behind the systems.
Free field notes, diagrams, and practical guides for teams building with AI. Start with a mental model, then use it to make better engineering decisions.
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An AI Agent Builder Checklist
A concise preflight checklist for deciding whether an agent idea has the context, capabilities, and controls needed to become a real system.
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Agents in One Paragraph
A compact mental model for understanding what an AI agent is, what it can do, and where its behavior comes from.
Ready to explore AI for your team?
Join the waitlist for early access to consulting slots, technical guides, and AI implementation insights.