AI Native Course
Glossary

Chain-of-thought

Asking a model to reason step by step before answering, which improves accuracy on multi-step problems.

Explicit reasoning gives the model room to decompose a problem instead of guessing an answer in one leap. Reasoning tiers do this internally by default.

For PM work, the practical version is: 'List the assumptions, then evaluate each, then give your recommendation.'

Where this shows up in the course

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