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    ← All skills

    AI Agents

    Build a safe tool-calling agent

    Build an agent that can call tools, handle results, ask for approval when needed, stop safely, and show when a plain script is the better choice.

    For college builders who can code and want an internship-ready AI project in a public repo.

    Advanced7 lessonsAbout 35 min+100 XP

    Usually easier after LLM APIs. You can start here anyway.

    Written from the official docs and release notes, and last checked on 21 September 2026.

    Start lesson 1

    Your path

    1. 1Start hereTools make models act5 min
    2. 2Define reliable tool schemas5 min
    3. 3Build the call-result loop5 min
    4. 4Add human approval gates5 min
    5. 5Stop runaway agents5 min
    6. 6Choose agent or script5 min
    7. 7Ship the repo project5 min
    8. The check10 questions · 7 to pass
    9. Verify the AI Agents skill+100 XP and a proof page, once the check and the task are done
    How you earn it
    AI Agents
    +100 XP on your profile

    Both of these. Either order.

    Pass the check

    10 questions from the lessons. Get 7 right.

    Take the check
    A submitted project with a public repository

    Submit a hackathon project with a public repository that contains a working tool-calling agent. The repo must show tool schemas, the call-result loop, approval gates, hard limits, and a short note explaining when you would replace the agent with a script.

    Already done it before? It counts. We check your history.

    Sign in to keep track of your lessons and earn the skill.