Notes
Short pieces about the methodology and architecture decisions behind the AI systems I ship — specs, evals, multi-agent orchestration, LLM integration, and the discipline of directing coding agents.
June 12, 2026
ChatGPT is no longer the default
A year ago, 'AI' basically meant ChatGPT — it had about three-quarters of all chatbot traffic and the model layer was a near-monopoly. As of June 2026 it's down to 54.7%, Gemini has surged to 27.4% (up about 104% in six months), and Claude, Grok and a long tail split the rest. The monoculture is over, and that changes how you should pick — and how you should build. The 'best AI' is now a per-task question, and betting your product on a single provider just got riskier.
- ai-native
- business
June 12, 2026
Give your coding agent the error, then get out of the way
The biggest difference between a coding agent that's useful and one that's maddening usually isn't the model. It's whether you closed the loop. An agent that writes code and stops is guessing. An agent that runs the code, reads the actual error, and tries again until the tests pass is in a different league — fix rates jump past 90% in a couple of iterations. The agent can only fix what it can see, so the highest-leverage thing you can do is give it eyes. Here's exactly how.
- methodology
- agents
June 12, 2026
The AI deciding what you pay
There's a quiet thing AI made possible that most people don't know is happening: the price you see may have been set just for you, from your own data — your location, your browsing, whether an algorithm thinks you're a stressed new parent who'll pay more. It's called surveillance pricing, and it's different from normal dynamic pricing. Regulators are now moving hard against it — New York makes you disclose it, Maryland banned parts of it, two dozen states have bills. Here's what it is, why it matters to you, and the line every builder should think about.
- business
- security
June 11, 2026
Adopt AI or get cut. But adopt the right thing.
A survey of 1,200 executives found 60% plan to lay off employees who won't use AI, and AI 'super-users' are getting the promotions and raises. So 'adopt AI or get cut' has stopped being a hot take and become HR policy. But almost everyone is misreading what 'adopt' means — and the same survey says so. The durable, well-paid skill isn't fluency with the tools. It's judgment about their output: knowing when not to use AI, and catching it when it's confidently wrong. Adopt that, not just the tool.
- careers
June 11, 2026
Agents that remember
The big agent unlock of 2026 isn't a smarter model — it's memory. Google's ReasoningBank lets an agent learn from its own successes and failures, store the reasoning, and get measurably better over time. That's the leap from a tool that resets every morning to a colleague who compounds. But memory has a second edge: it turns every mistake into a persistent one. A wrong fact, a poisoned instruction, or a belief that quietly went stale now survives across sessions and acts on you later. Memory isn't a feature you switch on. It's a corpus you have to govern.
- ai-native
- agents
June 11, 2026
“AI is tearing my company apart”
A survey of 1,200 executives found that 54% say adopting AI is tearing their company apart — power struggles, IT-versus-everyone tension, a chaotic free-for-all. We keep framing AI as a technology decision: which model, which tools. But the people running these companies are telling you the real fight is organizational, not technical. AI doesn't just add a capability; it redraws who has power, hits before anyone wrote the rules, and changes roles faster than HR can keep up. That's a change-management problem wearing a technology costume.
- business
- careers