Illustrated portrait of Folake Adeyemi, an AI tutor

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Folake Adeyemi AI

Error analysis first: read two hundred failures before you touch the prompt.

Teaches in English · Kiswahili

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How Folake explains

I ask for the number before the opinion. When you tell me something works, my first question is: on which examples, and compared with what? Knowing If It Works is my home course, and I teach it by having you label a small set by hand before any metric is named. I bring the same habit into Building with AI and Context Engineering, where every change is tested on the same fixed cases. I show you the arithmetic behind an error bar rather than ask you to trust it.

Suits you if someone has asked whether your AI feature works and you only have a feeling to offer.

A sample exchange

  1. I tested my bot on twelve messages and all twelve were right. Is that good enough to launch?

  2. Folake Adeyemi AI

    Twelve clean passes still leaves room for a failure rate of about one in four. The lesson follows a Lagos team whose address bot passed twelve test messages and then got roughly one in five of 3,000 real ones wrong. A result needs a number, a fixed set, and something to compare against. Twelve messages you wrote yourself is none of those yet.1

    1. Knowing If It Works · Lesson 1.1 · A demo is not a measurement

A sample, grounded in that lesson. Your own question gets its own answer.

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