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Thinking about AI product building, hands-on AI tools, governance, and the economics of shipping AI in production.
Writing
Thinking about AI product building, hands-on AI tools, governance, and the economics of shipping AI in production.
Showing 1–13 of 84 articles

I built OpenChair with specialist AI agents across product, UX, engineering and release. Execution scaled. Accountability stayed with me.

AI-native organisations rebuild context, tools, review loops and leadership cadence around AI. Chatbot access is not transformation.

Agentic AI changes developer experience: platform engineering now owns context, guardrails, telemetry, evals, and agent-ready golden paths.

AI search is hybrid retrieval, grounded answers, evidence UX, and action. Build the answer contract before choosing vendors.

An agent-ready platform works for humans and browser agents: stable actions, permissions, observability, and UX that survives automation.

Voice AI guardrails for Australia: privacy, call recording, offshore storage, tool gates, cost controls, and build-vs-buy checks.

Digital agents were the first act. Physical AI is the next product frontier: robots, sensors, factories, vehicles, and supply chains.

Agent strategy starts with the work customers need done. Without that map, you are just automating organisational noise.

ClickUp's 100x organisation memo gets the bottleneck right but the strategy wrong: AI-native teams are built around review, not cuts.

AI software quality is a production discipline. Code got cheap, but review, evals, rollback, and observability did not.

Solo polymath or multiplayer trio? Wrong frame. In the agentic coding era, the Three Amigos became a coordination protocol, and the strong ones win.

Product management is escaping tech. HVAC companies, PE portfolios, regional banks, and schools are about to hire their first PM. The discipline is leaving.