# 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?"))
```