17 posts across Directing AI, Systems & Adoption, Judging AI
Four frontier-class models launched within days of each other, each strongest at a different kind of work. Here's how to match model to task without re-running the comparison every month.
4 min readAnthropic's draft IPO filing shows $16.3 billion in first-half revenue against an $80.7 billion net loss and $518 billion in compute commitments. The numbers are a vendor-risk planning problem for any team paying for AI, not just a headline about a funding round.
4 min readA resume screener, a one-shot game, a benchmark leader, and a search engine all optimized for something measurable this year — and it wasn't whether the output was actually right for the job. Here's the check that catches the gap before you act on the score.
5 min readFour separate AI launches this year taught the same lesson from different angles: model choice matters less than task fit. Here are the three questions to ask before you pick a model for anything that matters.
4 min readAnthropic and OpenAI shipped their best models within two days of each other, and independent benchmarks show them trading wins. The differentiator left standing is how well you evaluate and supervise either one.
3 min readEthan Mollick's research found the models best at doing your work alone score lower on helping you think it through, while a cheaper model does both well. Here's the three-question check for matching model to task.
4 min readA silent 40% token hike, a subsidized subscription, a budget built on sticker price, and an agent deployed where a prompt would do — four unrelated cost overruns from this year share one root cause. Here's the check that catches it before the invoice does.
5 min readClaude Opus 5 benchmarks higher than its predecessor and a 717-comment Hacker News thread says it collaborates worse. Here's what that gap means for how you pick a model and scope an agent.
5 min readClaude, Gemini, and DeepSeek all shipped the same change this year — explicit control over how hard the model thinks, priced across a 50x range. Here's the three-tier rule for matching effort to what a task actually needs.
4 min readA leadership exodus, a 19-day suspension, a government approval gate, and a pricing model that can't hold — four separate incidents this year, four different mechanisms, one lesson: the AI vendor you built around was never a fixed point.
5 min readDeepSeek's new model costs a fraction of a cent per million tokens, and OpenAI just cut its own prices 80% in three weeks. The tasks got cheaper — knowing which tier each one needs didn't.
4 min readAnthropic shipped an effort toggle with Claude Opus 5. Google released three tiers of Gemini Flash and deprecated temperature settings. Every major AI provider made the same call this week: match the task to the reasoning depth. Here's how.
5 min readCourt documents unsealed July 2 showed Anthropic drew two non-negotiable redlines — no mass surveillance, no autonomous weapons — and lost government access because of it. The 19-day Fable 5 suspension was the operational consequence. Here's what it means for how you build with AI.
5 min readBoth OpenAI and Anthropic have their best models gated by government approval — not pricing tiers, not waitlists. If you built workflows around those models, here are three things to do before it happens again.
5 min readWith iOS 27, you can route Siri through Claude, ChatGPT, or Gemini. That choice is the easy part. The skill is knowing how to frame the ask in the quick moments — before a meeting, between tasks, on a walk.
5 min readClaude Opus 4.8 shipped with explicit effort controls — users choose whether the model reasons carefully or answers fast, at 3x the cost difference. Here's how to decide which tasks deserve which mode.
4 min readClaude 4.7 requires surgical specificity. GPT-5.5 demands outcome-focused framing. The same vague prompts that worked last quarter are now producing worse results on both platforms.
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