If your prompts keep getting longer while the AI output still sounds bigger than it is, this will save you time. You’ll learn the Reflection prompt (use it today), the ReAct loop, and how to choose the right first agent use case, so that you get an early win.
What we cover in part 1:
* The prompt trap
* Reflection (draft → critique → rewrite)
* What an AI agent is
* Workflow automation versus AI agent
* ReAct loop (Reason → Act → Observe → repeat)
* Context engineering (role, rules, tools, memory, knowledge)
* Task decomposition (small, checkable steps)
* Tool use (model requests tool calls; system executes; results return)
* Agent use case selection (complexity × precision matrix)
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