Lesson 7 of 7 · About 4 minutes
Design your first agent
Build a complete plan and explain how it can succeed, fail, or stop.
01 / Learn the idea
Bring it together
Your challenge is to help the science club plan a meeting for 24 students on Friday at 15:00. Start with a proposal, not a booking. Write down the goal, the facts to retrieve, the tools you need, and the checks that decide whether a room qualifies. State what the teacher must approve.
Then trace a run: read availability, compare room capacity, draft an eligible option, and check the result. Test four situations: a suitable room, that room occupied, missing availability, and a page that demands immediate booking. Your design should distinguish a verified option from an unknown, and keep booking with a person.
You could split the work among a researcher, a planner, and a reviewer. That is a multi-agent design. It adds communication and coordination, and agents can return conflicting results. Extra roles do not certify correctness. For this small task, explain what a second agent would add before introducing one.[1]
Original school example
A design you can defend
A good proposal names an eligible room and the evidence used, or identifies the missing fact. It records the checks, stays within read-only tools, and ends with teacher review. Explain which test would make you reject your own design.
Each added role needs useful work, clear information, and a check. Start with the simplest design that meets the task.
02 / Explore the flow · Guided simulation
Test your club-planning agent
Design a room-recommendation agent for 24 students, then test it against four situations. It should recommend only a verified fit and leave booking to a person.
Original fictional scenario. Decisions are authored; calculations and checks run in your browser. No live AI or external action.
↳ A failed check can send the flow back to another action—or to a human.
Step 1 of 6 · Visible system event
Mission
Recommend a room for 24 students; verify availability; leave booking to a person.
Inspect the visible trace (1 events)
- Mission
Recommend a room for 24 students; verify availability; leave booking to a person.
This log shows authored actions, tool results, and checks. It is not a model’s private reasoning.
03 / Check your understanding
Your capstone found no room that fits all 24 students on Friday at 15:00. Which outcome meets the design's boundaries?
Where these ideas come from
Primary sources, explained in our own words. Research findings and engineering guidance are different kinds of evidence; neither is a guarantee that an agent will succeed.
Supports: Review and revision loops; Multi-agent coordination tradeoffs.
Limit: Architecture guidance, not a controlled comparison proving that more agents are better.
Supports: Workflow versus agent distinction; Choosing simple systems.
Limit: An engineering taxonomy, not a universal definition. The page notes that its tooling has changed since publication.
Stemtiq original lesson · Sources checked September 12, 2026 · Editorial review pending. School examples and guided simulations are original simplifications, not replications of the cited systems. No research affiliation or endorsement is implied.