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Topic6 lessons~7h 15m

Lessons, in order

About this topic

Six things to build. Each one is a small Go program, standard library only, that produces a number you can take into a real argument at work. They are ordered so that each builds on the last, and every one of them exists because the corresponding lesson is easier to believe once you have run the arithmetic on your own product.

None of them need a GPU, an API key, a network connection or an account. Expect an hour or two each.

#ProjectWhat you end up withTopic it belongs to
01Eval HarnessA pass rate with a confidence interval over a real case setEvaluation and Quality
02Cost Per Task ModelWhat one unit of useful work costs, including retries and judgingAI Cost and Margin
03Trust Budget CalculatorThe accuracy your product shape actually requiresWhat a Model Changes
04Cohort Retention TableA retention curve, and whether it flattensFunnel, Retention and Experiments
05Agent Reliability SimulatorPer step accuracy turned into a number you can promiseAgent and Task Metrics
06Pricing and Margin ModelThe usage level at which your pricing stops workingAI Pricing and Packaging

Build them with your own numbers, not the ones in the briefs. The defaults are there so the program runs on the first try; they are not benchmarks.

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