The Observatory

The way you audition an agent is almost certainly broken in the same way your hiring process is broken. If you're running vibe checks on outputs, you're not evaluating — you're confabulating.

Rahul Vohra's method turns product-market fit from a feeling into a number you can act on — and when your product is evolving at agent speed, you need that anchor or you won't notice the floor shifting.

When your agents can generate fifty market segments before lunch, the question isn't speed anymore — it's which single market you're willing to be wrong about first, and that choice still belongs to a human.

If you're delegating execution to agents, the classic startup killers don't disappear — they compound at software speed, which means a marginal idea or a platform dependency becomes a catastrophe before you notice it.

If you are building with agents, the temptation is to believe you have finally designed the individual out of the equation. Dan Luu's essay says that belief has always been a comfortable fiction, and comfort is expensive.

If you're deploying agents and still manually seeding every workflow, PMF hasn't arrived yet — and the signal, when it comes, will be unmistakable and operational, not anecdotal.

Steve Blank wrote his book for a world where code was the bottleneck; now execution is cheap and the old mistake — scaling before you understand the customer — is just faster and more expensive.

The hard part of building an AI-native company isn't the agents — it's knowing which problem deserves one. Graham's framework cuts through that before you waste six months automating the wrong thing.

Founders running agent-powered companies move fast enough that a slow fundraise doesn't just cost time — it costs compounding. Paul Graham's framework for treating the raise as a distinct operating mode is more urgent now, not less.

If your agent onboards users beautifully and they still drift away, you have not built a product — you have built a demo. Andrew Chen's math on retention curves is the first thing to internalize before you spend another dollar on growth.

Ash Maurya's method was built for founders who can't afford to build the wrong thing — and now your agents are building faster than ever, which makes the wrong thing arrive faster too.

Livingston's interviews prove that the founders who survived didn't have better plans — they had better reflexes when the plan fell apart. That instinct is exactly what you can't yet delegate to an agent.