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 508 posts across 54 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 (98), AI Agent Architecture (61), AI Tools (38), and AI Coding Agents (27). 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.
Elon Musk predicts superhuman AI within five years and optional work within ten. A source-checked map of his claims on AI, China, jobs, governance, and Europe.
What Daniel Kokotajlo actually said: his 70% estimate in context, the OpenAI equity dispute, the 2029 forecast, AI 2027, and Plan A. Source-checked throughout.
More than 1,300 frontier-lab employees asked the US government to build an international option for pacing automated AI R&D. The statement is not an immediate pause, and its hardest questions remain unanswered.
A source-checked guide to AI 2040: Plan A, separating recommendation, scenario, projection, and evidence across the five paths, the US-China compute deal, verification, citizen dividends, and the assumptions behind the $13 million headline.
Theo unpacks the NVIDIA-led open-weights letter and Anthropic's refusal to sign. Here is what the coalition actually argues, where Dario Amodei agrees, where he objects, and what builders should test before deploying open models.
Theo argues that Kimi K3 has frontier labs and Washington panicking. Here is the evidence: released open weights, competitive benchmarks, distillation allegations, cyber testing, policy risk, and what builders should do next.
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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