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AI Micro-Internship · ~240 min · builder

Build an AI agent that finishes a multi-step task

Agentic AI is the biggest hiring trend of 2026 — systems that plan, use tools, and complete tasks with minimal supervision. Build an agent that takes one instruction and completes a task requiring at least 3 steps and at least 1 tool.

Steps

  1. 01Pick a task with real steps: "research today’s top 3 news on X and draft a summary email", "check weather + suggest what to wear + set a reminder", "read a folder of files and produce a report".
  2. 02Build it: code with an agent framework (LangChain agents, CrewAI, OpenAI/Gemini function calling) or wire it in n8n with an AI node + tools.
  3. 03Give the agent at least one real tool: web search, a spreadsheet, calendar, file system, or an API.
  4. 04Run it 5 times. Keep a failure log — agents fail in interesting ways, and hiding that fails this mission.

Tools: A free LLM API (Gemini has a free tier), An agent framework or n8n, GitHub

Your submission

Submit the task, the repo (or exported workflow), a demo video, and your 5-run failure log. A perfect log with zero failures reads as an untested agent.