Chain-of-Thought
also CoT
Chain-of-thought prompting asks the model to reason step by step before giving a final answer, which improves accuracy on complex tasks.
Analogy
Like asking someone to show their work on a math problem instead of blurting the answer.
Why it matters
It boosts reliability on multi-step logic in automations, like qualifying a lead against several conditions before deciding an action.
In practice
"Think through each requirement, then state whether the lead qualifies."