Why My AI Projects Work When Most AI Projects Fail
A practical playbook for using AI to investigate difficult problems, make better decisions, and verify real outcomes.
Read More →Technology Leadership • Enterprise Solutions • AI Platforms
Thoughts on technology, AI, and building things that matter.
A practical playbook for using AI to investigate difficult problems, make better decisions, and verify real outcomes.
Read More →A field report from two weeks of real DevOps work I handed to an AI assistant, from email analysis to repo surgery and deck edits.
Read More →A technical look at how OpenClaw orchestrated a messy Azure disk migration, from conversion and upload to boot diagnosis and repair.
Read More →A practical look at Anthropic's newest Fable and Mythos models, the rapid rollout, the shutdown, the redeployment, and the security concerns behind the decision.
Read More →A comprehensive breakdown of the Canvas LMS security incident in May 2026, including the timeline, what data was affected, what Instructure has done, and what schools and users should do now.
Read More →Anthropic tightened third-party access to Claude models, but GitHub Copilot still provides a viable path. Learn what changed, why it matters, and how to keep using Claude through Copilot without managing separate API keys or billing.
Read More →AI is in a remarkable surge right now, driven largely by large language models. But there's a fundamental limitation baked into today's systems: they wait for you. Explore the vision for proactive AI and what it means for how we work.
Read More →Imagine waking up to a home that already knows what you need. From a bed that senses when you rise to a voice assistant that warms your shower and brews your coffee — the fully automated morning is closer than you think.
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