Hands-on Artificial Intelligence
My learning DE

Experiment60 min

Be the agent

Your group plays an AI agent with cards instead of a computer: one of you is the language model, one carries the messages, four are the tools, and one keeps the log.

Topics:AI agents

What you will learn

In this experiment you run by hand the loop that every AI agent runs on, and afterwards you can:

  • run the loop of thinking, acting and observing with cards and say which step happens where
  • tell what the model does, what the tools do and what the harness carries between them
  • explain why the model knows only what is in its context and why its work can only be as good as the results that reach it
  • compare your log with the log of a real agent and recognise the same rounds and tool calls

An AI agent is a large language model (LLM) that can only write text: everything it does in the world happens through tools, which a program around it, the harness, runs on its behalf. The model knows only what is in its context, so its work can only be as good as the results that reach it. In this game your group plays such an agent with cards instead of a computer, and by the end you will have run by hand the loop that every AI agent runs on.

A table during the game, seen from above: the card for Task 2, pink TOOL cards and grey RESULT cards written by hand, the system card and stacks of blank cards
A group in the middle of Task 2: the cards the Model has written lie in pink next to the grey results the tools have sent back, and every card on the table is one step of the agent.

The slides lead through the game: the roles, the cards, the rules, the three tasks and what you just played.

In a new window As PDF

What you need

  • A group of seven; with five or six, one person takes two roles.
  • The cards, seven A4 sheets to cut along the dashed lines; print the sheet with blank cards several times, because a game uses twenty or more.
  • The Observer's sheet, one per group and task, with room for 22 rounds and the counts at the end.
  • A pen for everyone, a calculator and room for the tools to sit apart from the Model.

All farm data and web pages are invented for this game and are not advice for real fertilisation.

The Observer's sheet: a table with the columns round, card, tool, what it said and note, and a box for the counts at the end
The Observer's sheet, one per group and task.

The cards

Pink cards belong to the Model: the system card, the three tasks and the blank cards it writes on. The dark role cards go one to each player, and the grey cards are the material of the tools, which the Model never sees. Click a card to read it large.

Steps

  1. Hand out the role cards; the Model's stack starts with the system card and Task 1 on top.
  2. Play Task 1, then swap roles and play Task 2.
  3. The Observer reads the log aloud: rounds, tool calls per tool, errors and cards on the stack.
  4. Play Task 3 if there is time, then compare your log with the log of a real agent.

While you play, four rules apply:

  • The Model sees only its stack of cards, and nobody talks to it.
  • It writes one card at a time, starting with THINK:, TOOL: or ANSWER:.
  • The Harness carries every TOOL: card to the right tool and brings back the RESULT: card.
  • A tool does exactly what the card says, nothing more, and never guesses what was meant.
Close-up of the same table: handwritten TOOL cards such as open and calculator next to the RESULT cards from the tools
Close-up of the same table: the Model's TOOL cards next to the RESULT cards the tools wrote back.

Extensions

Each extension changes the game in one respect, so that you can compare the result with your first round.

  1. Limited memory: the stack holds at most eight cards, and a SUMMARY: card replaces the oldest ones when it is full.
  2. Two tools at once: the Model may write two tool cards per turn, which the Harness carries in parallel.
  3. A new tool: someone becomes forecast("date"), added to the system card, and you watch whether the Model uses it unprompted.
  4. A wrong result: one tool secretly returns a wrong value, and you find out whether the Model notices.
  5. Be the tool for a chatbot: solve Task 2 with a chatbot in your browser, supplying every file, page and calculation yourself.

Discussion

Write down your own answers first, then discuss them in your group.

  1. In which round would the Model have been stuck without the tools, and which tool was used most?
  2. What would have gone differently if the Model had had to give up its stack after ten cards?
  3. Who did the thinking, who did the acting, and which of it could the Model actually do?

What you just ran by hand, the loop of thinking, acting and observing, is the subject of AI agents.

Back
More on this
Details
Level
Beginner
Modules
Applications of Artificial Intelligence
Code
7882
Updated
4 November 2026
Status
published

    A four-digit code takes you straight to the item.