
Module 3 Lesson 3: Step-by-Step Instructions
Forcing the AI to 'think' before it speaks. Breaking complex tasks into manageable sub-tasks.
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Forcing the AI to 'think' before it speaks. Breaking complex tasks into manageable sub-tasks.

How to force the AI to 'show its work.' Dramatically improve reasoning accuracy for math, logic, and complex planning.

Is an LLM actually 'thinking'? In this lesson, we explore the Reasoning Gap using the System 1 vs System 2 framework to understand why AI fails at simple logic while mastering complex prose.
How Agents Think. Understanding the ReAct (Reason + Act) cycle that powers Bedrock's autonomous decisions.
Chain of Thought Orchestrated. How to build complex reasoning pipelines where multiple AI models check each other's work.
The Autonomous Mind. Understanding the difference between a static Chain and a dynamic Agent that makes its own decisions.
The engine of agency. Understanding the ReAct pattern and how LLMs navigate complexity.