Framework
Optimize After You Scale
Collect revenue first. There is no point building an AI solution for a market that does not exist.
How it works
- 1Real traffic shows you where the money actually burns, instead of you guessing in an endless optimization loop.
- 2Once customers are hitting it, the natural division lines between tasks appear on their own.
Hear it on the podcast
40,000 Models, One API Key, and a $25M Bet on Open SourceListen to the episodeMore from this episode
Hotspot OptimizationFind the single highest-token step in your agent flow, not the whole flow.The Sonnet-Class SwapMost frontier leaders cluster at a Sonnet class that is, for most people, indistinguishable in practice.Trusted Provider as Security LayerA model is text in, text out. Run the weights on a trusted provider and the request cannot leave that server.Reliability Over SuperintelligenceThe labs sell curing cancer and orbital physics. Businesses want a model that will not order ten pizzas to the wrong address.The Intern-and-Manager LoopLooping is just emulating human agency. One model holds a goal it can validate, another keeps working until the goal is met.
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More frameworks for Finding & Validating Ideas
The Idea Cooling-Off PeriodRyan's filter for which ideas actually deserve execution.Crawl, Walk, Run ExitDe-risk the leap by proving the income before you quit.The 360-Degree Customer ProfileOne unified customer timeline so associates sell from context instead of digging for it.The Guided Intent Extraction ModelClyde's fix for the fact that most users can't articulate what they actually need.The Willingness-to-Pay TestProve real demand with revenue from the very first customer, not promises.The Hidden Value Theory of ProblemsTal's reframe for the pain of building something genuinely new.