Testing an idea used to cost me a day of hand-coding. Now it's 5 min to prompt, 30 to make tea. That's why I rewrote the book: when building is free, building the wrong thing is the only real cost. https://t.co/EcudKFTS3B
If you wouldn't trust a junior researcher to improvise follow-up questions, don't trust AI to either. Design your prompts before you run the interviews. https://t.co/v1qbp1bXOa
Before I prototype an idea, I decide what result would make me delete it. If I can't answer that, I'm not running an experiment. https://t.co/FSvt9yZCuq
The most valuable output of running AI interviews at scale isn't the answers — it's knowing which questions are worth asking a human next. https://t.co/waicqqFyPC
If I wouldn't trust a junior researcher to improvise follow-up questions, I don't trust AI to either. I design the prompts before I run the interviews. https://t.co/eCbDaaery5
When I can interview dozens of people at once with AI, the bottleneck shifts — it's no longer recruiting. It's knowing what to ask. https://t.co/eCbDaaery5
The real danger of AI in early-stage research isn't bad output — it's plausible output that replaces the conversation you needed to have. https://t.co/NQ6g0RosN0
Most founders get bad data because they ran the wrong experiment for the question they had. AI runs it 10x faster — it can't tell you which question to ask. New RSB 2nd-ed teaser: https://t.co/06NuCluvK2