flail
"Feeling more capable than you are is one thing AI has in common with other drugs."
"It is hardest to tell that an AI is saying something that doesn’t make sense when you don’t have a lot of experience related to what the AI is talking about."
Chasing the Karpathy Peak (and Falling Off Slop Cliff)
Optimize Product Discovery for Time to First Dollar
What Women Want from AI
Generative Overload Is Killing Your Productivity
"We Invest in Founders" Is a Convenient Lie
The Rise and Fall of Jev
MVP: Always a Product, Sometimes Viable, Never Minimum
AI made the lean startup more important
The broken windows theory of coding agents
Product Developer A.D. 2026: Jack of All Trades
Companies are making education policy
You (Still) Can't Vibe-Code a Product
The Wall Confronting Reliable Coding Agent Autonomy
"Have Done" Is Signal, "Would Do" Is Noise
Agentic Horizons – When the Wheels Start to Wobble
Less Is More
They Shouldn't Know It's a "User" Interview
Code Is Not the Outcome, Learning Is
Tokens, Hours, Points, and Other Curious Proxies
Validation Is the New Bottleneck (Also, the Old One)
User Journey Mapping: We Want It to Be Shit
Build Economy Is All about Build and None about Economy
In fact, for our work, which is absolutely not rocket science most of the time, we see little upside in using Fable. The output is still "good enough," but the token burnout rate is through the roof. For many tasks, we stick to Opus, or even Sonnet, and the output is just fine.
Fun fact, we recently prepared an AI recruitment task. The basic idea was that there are conflicting goals in the context. We assumed that AI would lead candidates to a dead end, and they'd have to figure out what was happening. We abandoned the idea as even Sonnet was handling it fine enough. And it burned way fewer tokens than Fable would.