#!/usr/bin/env python3
"""Personal AI Fluency Plan

This script demonstrates a simple personal AI fluency plan.
It prints a structured plan with learning objectives, resources, and milestones.
"""

from datetime import datetime

plan = {
    "goal": "Become proficient in using AI tools for personal productivity and creative projects.",
    "timeline": "6 months",
    "milestones": [
        {
            "month": 1,
            "focus": "Foundations of AI and language models",
            "resources": [
                "https://anthropic.skilljar.com/ai-fluency-framework-foundations",
                "Coursera: AI For Everyone by Andrew Ng",
            ],
        },
        {
            "month": 2,
            "focus": "Hands‑on with LangChain and OpenAI API",
            "resources": [
                "LangChain documentation",
                "OpenAI API quickstart",
            ],
        },
        {
            "month": 3,
            "focus": "Building simple chatbots and retrieval‑augmented generation",
            "resources": [
                "LangChain tutorials",
                "Hugging Face Spaces",
            ],
        },
        {
            "month": 4,
            "focus": "Advanced prompting and chain composition",
            "resources": [
                "Prompt Engineering Guide",
                "LangChain advanced examples",
            ],
        },
        {
            "month": 5,
            "focus": "Deploying AI solutions locally and in the cloud",
            "resources": [
                "Docker for AI",
                "AWS SageMaker",
            ],
        },
        {
            "month": 6,
            "focus": "Reflect, iterate, and plan next steps",
            "resources": [
                "Personal portfolio of AI projects",
                "Community feedback and mentorship",
            ],
        },
    ],
    "evaluation": "Self‑assessment and peer review after each milestone.",
}


def print_plan(p):
    print("Personal AI Fluency Plan")
    print("Goal:", p["goal"])
    print("Timeline:", p["timeline"])
    print("\nMilestones:")
    for m in p["milestones"]:
        print(f"  Month {m['month']}: {m['focus']}")
        for r in m["resources"]:
            print(f"    - {r}")
    print("\nEvaluation:", p["evaluation"])
    print("\nGenerated on", datetime.utcnow().isoformat(), "UTC")

if __name__ == "__main__":
    print_plan(plan)