AI for
customers
Useful, trustworthy AI capabilities embedded in customer-facing products: retrieval, personalization, conversational interfaces, and the evals that keep them honest.
↗Product and Engineering Executive
Rolling out AI at enterprise scale.
I help large companies build AI into their products, their workforce, and the engineering factory that creates both. One insight from the field, every day.
Latest dispatch repo
Agent Skills: packaging what your org knows
An Apache licensed spec for portable agent capabilities. The enterprise angle is that know-how stops being locked to one vendor's agent.
02 / Operating model
Where AI creates leverage in a large company
AI for
AI for
employees
Governed access to models, tools, knowledge, and workflows: model gateways, usage and cost visibility, and adoption without shadow AI.
↗AI as the
engineering factory
Agentic systems that plan, build, test, review, and improve software delivery. The agent hands over a working environment with evidence, not a plausible diff.
↗- 01 tool tool-brief / ai-for-employees Open weights walk in the front door of GitHub Copilot Kimi K2.7 Code is the first open weight model in Copilot's picker. The story is distribution, not benchmarks.
- 02 model engineering-factory / ai-for-employees Kimi K3 changes your leverage, not your stack The first open 3T-class model is here. Almost no enterprise will ever host it, and that is not where the value is.
- 03 model tool-brief / engineering-factory MiniMax M3: judge it by the 24 hour run MiniMax's new flagship pairs a 1M token context with the metric that matters for agentic delivery: how long it stays coherent without a human.
- 04 repo engineering-factory / agents Agents Need Eyes: The Verification Layer Is Arriving Chrome ships DevTools as an MCP server for coding agents. It is one of the clearest signals that verification, not code generation, is where agentic delivery gets decided.
- 05 repo tool-brief / ai-for-customers Astryx: Meta Makes the Design System the Agent Contract Meta's new open source design system calls itself agent ready. That phrase is the strategy: components as the guardrails agents build UI through.
04 / Work together
Bring your AI roadmap.
Leave with a clearer path.
Platform challenge, agentic delivery architecture, or an executive AI strategy session: let's talk about what actually moves the needle at scale.
Start a conversation