Your students may already know Jimothy from The Jimothy Test. This lesson hands them the other side of that relationship. Instead of verifying content, they create it, using the same skill professionals rely on every day: writing a precise specification that someone, or something, else can build from.

Students write a design specification for a 3D-printable version of Jimothy using the WISH Framework extended with real engineering constraints (wall thickness, overhang angle, print orientation). The teacher runs it live on one projected screen, and the class watches an AI write and run code to build the shape. Then they evaluate the result against defined criteria and revise the spec.

This isn't really a lesson about raccoons or 3D printers. It's about precision as a transferable skill. Architects write specs for contractors. Product designers write specs for manufacturers. Programmers write specs, sometimes now for an AI collaborator instead of another programmer. A vague specification produces a vague result, regardless of who or what is on the other end.

What's inside:

• Teacher guide with a 50-minute, minute-by-minute lesson flow

• Setup checklist for before class

• The WISH Check poster, plus a "Level Up: Engineering Constraints" reference

• Weak vs. strong specification reference with a ready-to-use demo prompt

• Student design specification worksheet

• Iteration log to compare v1, v2, and v3

• Debrief guide with discussion questions and listen-fors

• Facilitation guide and specification rubric

• Troubleshooting and data privacy notes

Details:

• Grades 9-12, 50 minutes

• Whole class, one computer, no student accounts required (adaptable to supervised small groups with district-approved AI access)

• Works with Claude, ChatGPT, or Gemini

• Aligned to ISTE Standards for Students 1.4 (Innovative Designer) and 1.5 (Computational Thinker), CSTA 3A-AP-21 (Level 3A, Grades 9-10), and AI4K12 Big Idea #4 (Natural Interaction)

Pairs naturally with The Jimothy Test for a verify-then-specify arc: first students learn to check what AI produces, then they learn to direct it with engineering-grade precision.

Created by Larisa Black and Aileen Wallace.