If your agents are shipping output no one is measuring, you are burning compute the same way bad startups burn cash — confidently, quietly, and wrong. The discipline Eric Ries codified is more urgent now, not less.
The Lean Startup argues that the central job of an early company is not to build things but to learn whether those things should exist at all. Eric Ries reframes progress as validated learning — evidence gathered through real customer behavior, not internal conviction. The minimum viable product is a measurement instrument, not a rough draft. The pivot-or-persevere decision is a structured moment of honesty, not a crisis. Waste, in this model, is anything produced before you know what question you are actually answering.
Agents compress the build side of the loop to near zero, which sounds like a gift until you realize it also compresses the temptation to skip measurement entirely. When an agent can generate a research report, a customer draft, a pricing model, or a support workflow in seconds, the vanity metric problem explodes — volume masquerades as validation faster than ever. The Ries framework holds: each agent task needs a hypothesis, a measurable signal, and a decision gate. Otherwise you are not running experiments, you are running a very efficient illusion of progress.
- Define the hypothesis before the agent fires, not after you see the output
- instrument agent workflows so behavior data reaches a human decision-maker at the pivot-or-persevere moment
- treat every MVP your agents help produce as a question, not an answer.
