In this lesson, we will build an AI-powered assistant that helps educators create structured lesson plans from a simple topic prompt. The assistant will guide the process step by step—starting with learning objectives, then developing an instructional outline, suggesting activities, and finally generating a complete, classroom-ready lesson plan.

This application uses LlamaIndex’s Workflow abstraction, which allows us to define a clear, linear sequence of reasoning steps. Each step transforms or builds on the output of the previous one, ensuring the final output is coherent, complete, and aligned with the teacher’s goals.

Such a system can support teachers, tutors, instructional designers, or anyone who needs to design learning content quickly and effectively.

Note: This application uses LlamaIndex workflows to structure multi-step generation, passes data between steps using typed events, and applies prompt chaining to build each part of the lesson plan.

To implement this application, we will use the following modules and libraries:

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