Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 478 posts across 52 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (95), AI Agent Architecture (58), AI Tools (38), and AI Coding Agents (26). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
Dario Amodei proposes pacing frontier AI with embedded evaluators and coordinated safeguards. Matthew Berman asks what rival CEOs actually agree on, and who could be left out.
Five AI safety cases explain agentic misalignment, reward hacking, alignment faking, unintended coordination, and the controls that reduce real-world risk.
A source-checked look at GPT-6 Astra, its Critical cybersecurity classification, two zero-day discoveries, the separate Hugging Face incident, and the controls agent deployments need.
Tristan Harris connects AI race incentives, agent misalignment, labor displacement, and the intelligence curse. Here is what the evidence supports.
Anthropic's simulated agents blackmailed, cancelled alerts, and biased evaluations. Here is what happened, what changed, and the controls teams need.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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