Writing about Artificial Intelligence, Agents, Microsoft AI, and the Intelligence Age.
Ten AI agents, each owning a phase of the DevOps infinity loop, coordinated by an engineering-manager agent. How I built a development team that plans, builds, codes, tests, releases, deploys, operates, and monitors continuously.
A live audit of my OpenCLAW Azure VM found two critical gaps: no Azure-native VM backup and no Azure Monitor Agent. Here is what I fixed, what it cost, and what is still unproven.
After 836 episodes across seven shows and nearly a decade, I'm wrapping up the Microsoft Innovation Podcast. Here's what the numbers say, what the stats don't capture, and what's next.
Six weeks ago a security audit told me I had 268 plaintext secrets scattered across my AI agent platform. This week I closed out the migration that fixed it. Here is what I learned about credentials, AI agents, and the gap between what we build and what we secure.
A Speechify renewal email made me question every subscription my business pays for. Since January 2026, I have eliminated nearly $10,000 in annual SaaS costs by building alternatives with AI. Here is what I learned about the subscription economy along the way.
cb365 adds 28 new commands across four workloads with a governance framework inspired by real enterprise AI policy. Three workloads went smoothly. Loop exposed a gap in Microsoft's platform that competitors solved years ago.
Microsoft Planner's API enforces optimistic concurrency with ETags, requires Group membership for plan creation, and uses User IDs for assignments. Here's how I wired 23 AI agents into a real task board.
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