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+# Personal AI Fluency Plan
+
+## Overview
+This plan outlines the steps to develop AI fluency using the framework from the Ai Fluency course.
+
+## Goals
+1. Understand core concepts of AI fluency.
+2. Apply LangChain and LangGraph to build simple agents.
+3. Create a personal learning roadmap.
+
+## Plan
+1. **Foundations** – Complete the course modules.
+2. **Hands‑on** – Build a small LangChain chain that answers a question.
+3. **LangGraph** – Create a graph that routes queries to different tools.
+4. **Reflection** – Document lessons learned and next steps.
+
+## Deliverable
+A written plan (this file) and a minimal working example in `main.py`.
+
+## Example Code
+```python
+from langchain import OpenAI, LLMChain
+from langchain.prompts import PromptTemplate
+
+prompt = PromptTemplate(
+    input_variables=["question"],
+    template="Answer the following question concisely: {question}"
+)
+llm = OpenAI(temperature=0.7)
+chain = LLMChain(llm=llm, prompt=prompt)
+
+print(chain.run(question="What is AI fluency?"))
+```