# ai-fluency personal plan generator

def main():
    plan = """
Personal AI Fluency Plan

1. Foundations (Week 1-2)
   • Complete the “AI Fluency Framework Foundations” module.
   • Review key concepts: prompt engineering, model capabilities, safety considerations.
   • Take the end-of-module quiz to ensure understanding.

2. Skill Development (Week 3-4)
   • Practice building simple agents with LangChain 1.x:
     – Create a basic question‑answer agent using ChatOpenAI.
     – Add a tool for web search and integrate it into the agent workflow.
   • Experiment with stream mode in LangGraph to handle long responses.

3. Application (Week 5-6)
   • Identify a real‑world problem you want to solve (e.g., automating email summaries).
   • Design an end‑to‑end pipeline:
     – Data ingestion
     – Prompt design
     – Agent orchestration with LangGraph
     – Output formatting
   • Deploy the solution locally or on a cloud platform.

4. Reflection & Iteration (Week 7)
   • Evaluate the performance of your solution.
   • Refactor prompts and agent logic based on feedback.
   • Document lessons learned and potential improvements.

5. Final Deliverable
   • Submit a concise written plan (this document) outlining:
     – Course completion status
     – Key takeaways
     – Personal action steps for continued AI fluency

"""
    print(plan.strip())

if __name__ == "__main__":
    main()