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Working with AI Agents, a free technology course on Tomo

Working with AI Agents

Move beyond basic chatbots and learn how autonomous AI systems solve multi-step problems. Discover how agents use tools, maintain memory, and work independently toward goals you define. Learn to guide, constrain, and supervise agents so they deliver reliable real-world results.

Like Duolingo, but for Working with AI Agents. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.

A short one: 11 levels across 2 sections, about 22 minutes end to end, roughly 4 days at five minutes a day. It moves through Delegating to Autonomous Systems and Supervising and Directing Agent Work. It starts from scratch.

11 bite-size levelsAbout 5 minutes each

Free forever · No credit card · iPhone & Android

Otto the Otter, the guide who teaches the Working with AI Agents course
Working with AI Agents
with Otto the Otter
11
Levels
2
Sections
5
Min/day
What you'll learn

Key ideas in Working with AI Agents

  • A standard chatbot operates turn-by-turn and stops after generating each response to wait for human input
  • An AI agent takes an overall objective and runs an automated loop, executing multiple actions in sequence until the goal is finished
  • An agent first checks its current state or environment (observing)
  • It decides what action will bring it closer to its goal (planning)
  • It performs the chosen operation, such as calling an external tool or sending an email (acting)
  • It checks whether the action succeeded before deciding what to do next (evaluating)
  • Effective agent prompts define the target outcome so the agent knows when it has succeeded
  • Setting guardrails and boundary rules prevents agents from making harmful assumptions
  • Scripting every intermediate click or step limits the agent's ability to navigate dynamic situations
  • Language-model-powered agents can take slightly different decision paths even with the same starting prompt
  • When an action fails (like a broken link or an invalid search term), an agent can inspect the error message and formulate a revised plan
  • A base language model only predicts text based on historical training data
  • Tools like APIs, web search, and calculators give the model a way to perceive current external data and take real-world actions
  • Without external tools, an agent cannot check live prices or trigger real transactions
  • An agent reads plain-text descriptions of available tools to decide which one matches its current sub-goal
  • Clear descriptions and parameter names guide the model to select the right tool for each step
Why not just Google it

You've tried the other tabs

Wikipedia

Thirty open tabs. Four facts you actually kept.

YouTube

You watched. You nodded. By Sunday it was gone.

ChatGPT

One answer, then back to scrolling.

Online courses

Eight weeks. You meant to finish. You didn't.

Tomo gives Working with AI Agents the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.

Try a question

Here's what playing it feels like

A real question from this course. Take your best guess.

How AI Agents Get Work Done

You ask an AI to book a flight and add it to your calendar. What makes an AI agent different from a normal chatbot here?

Get it right to open this lesson and 10 more in the app.

Course map

How to learn Working with AI Agents, step by step

Go in order. 11 short levels across 2 sections, about 22 minutes in all, five minutes a day.

  1. 1

    Delegating to Autonomous Systems

    • The Agent Loop: From Prompts to Delegated Goals
    • Equipping Agents with Tools and Memory
  2. 2

    Supervising and Directing Agent Work

    • Setting Boundaries, Scopes, and Guardrails
    • Tracing, Evaluating, and Debugging Runs

2 sections · 4 units · 11 levels. Built to play, not to enroll.

Questions

Questions about Working with AI Agents

  1. How do I learn Working with AI Agents?

    Go in order: start with Delegating to Autonomous Systems, then Supervising and Directing Agent Work. On Tomo that's 11 short levels, about 22 minutes in all, played five minutes a day. Start free and play the first level in under a minute.

  2. Is there a Duolingo-style app for Working with AI Agents?

    Yes. Tomo works like Duolingo: short daily lessons, streaks and quick quizzes. Working with AI Agents is one of its free courses, and you can type any other topic to get a course of your own.

  3. Is the Working with AI Agents course free?

    Yes. Working with AI Agents is playable on Tomo's free plan, which doesn't expire. No credit card, no waitlist. Download the app and start your first lesson.

  4. How long does it take to learn Working with AI Agents?

    11 levels across 2 sections, about 22 minutes of play in total. It's built for five minutes a day, so you finish it a little at a time instead of all at once.

  5. Do I need any background to start Working with AI Agents?

    No. It's pitched at a beginner level, so it starts where you are and builds up. If you can tap a phone, you can start.

New

Tomo is in ChatGPT

Tomo is also a ChatGPT plugin: the same playable courses, built and played inside your chat.

Add Tomo to ChatGPT
How it's taught

You pick the voice

This course
The Bestie

Working with AI Agents is taught in the Bestie style: your friend who just gets it. Want a different feel? In the app you can spin up the same topic in any of Tomo's teaching styles. Same facts, totally different vibe.

Start free

Start Working with AI Agents today.

Download Tomo, search Working with AI Agents, and play your first lesson in under a minute.