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 article
Bringing a Regional Insurer Into the AI Era: Start With the Gateway, Not the Chatbot
A hypothetical first 90 days at a regional insurance carrier. The right first move is a model gateway and shadow AI measurement, not a customer-facing chatbot.
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 repo tool-brief / engineering-factory OpenAI Shipped a Codex Plugin for Claude Code. Read the Signal. The official codex-plugin-cc repo lets Claude Code users run Codex reviews and delegate tasks. The interop matters more than the feature.
- 02 repo tool-brief / engineering-factory Graphify Turns Your Repo Into a Knowledge Graph Agents Can Query An open source skill that maps code, docs, and media into a queryable graph for coding agents. Context retrieval is the real constraint on agent quality.
- 03 tool tool-brief / engineering-factory TestMu's Browser Cloud Sells Real Browsers to AI Agents The company formerly known as LambdaTest now offers managed Chrome sessions as agent infrastructure. Verification capacity is becoming a line item.
- 04 article ai-for-customers / product AI for customers: ship the boring capability first The first layer of enterprise AI is customer-facing product. Most companies get it backwards by shipping a chatbot before removing a single point of friction.
- 05 article ai-for-employees / governance AI for employees: shadow AI is a demand signal, not a crime wave The second layer of enterprise AI is workforce enablement. The companies that win it treat unsanctioned AI use as product feedback for the internal platform.
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.
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