diff --git a/solutions/69970ff6d6d3a5544a3def7a/solution.py b/solutions/69970ff6d6d3a5544a3def7a/solution.py
new file mode 100644
index 0000000..c092ed2
--- /dev/null
+++ b/solutions/69970ff6d6d3a5544a3def7a/solution.py
@@ -0,0 +1,42 @@
+# 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()
\ No newline at end of file