Follow along, copy the prompts, or use your own.
Presented by Jeff Geronimo · Candidate, Technical Trainer & Adoption Specialist at Crusoe
This page contains the four prompts we'll use together today to demonstrate how a structured AI workflow can scaffold a complete training module — including a learning objective, a scenario-based practice question, a self-critique checklist, and a stakeholder brief — in under 10 minutes.
You're welcome to follow along using your own Claude session, copy any prompt below, or explore your own topic entirely. There are no wrong answers here.
The Four Prompts
Start here. Paste this into Claude and look at what comes back. We'll diagnose what's missing together before I show you how to fix it.
Write training on how to use Claude for work.
Same topic. Completely different prompt — structured around Audience, Learning Outcome, Task, and Output Format. Watch what changes.
You are an instructional designer helping me build a short training module. Audience: Crusoe employees who work in manufacturing operations — they use computers occasionally but are not technical. Most have not used AI tools before. They are skeptical of new software. Learning outcome: By the end of this module, learners will be able to use Claude to look up answers to common IT and process questions without needing to contact the helpdesk, reducing their ticket volume and improving their speed on the job. Task: Generate the following for a 15-minute introductory training module: 1. One clear, measurable learning objective using Bloom's Taxonomy action verbs 2. A 3-step workflow a learner could follow to complete their first useful Claude interaction 3. One scenario-based practice question that reflects a real situation a manufacturing operator would actually encounter 4. One transfer prompt — a question the learner should answer on their own, after the training, to confirm they retained and applied the skill Output format: Return each element with a clear header and keep language at an 8th-grade reading level. Avoid jargon.
Run this immediately after Prompt 2 — in the same conversation. This is where we identify what AI can't do without a human in the loop.
Review the training module you just generated. Identify: 1. Two assumptions you made about the audience that a real instructional designer should verify with a stakeholder before finalizing 2. One place where the scenario question might not reflect how a manufacturing operator actually talks or thinks about their work 3. One thing a human facilitator or instructional designer needs to add that you cannot generate without direct observation or interviews
The closing move — turning the internal work into a stakeholder communication. Paste this in the same conversation to see the full workflow output.
Based on everything above, write a one-paragraph "manager briefing" — something I could send to a manufacturing site manager in advance of this training to explain what it is, why it matters, and what you're asking of them. Keep it under 150 words. No jargon. Friendly but professional tone.
Open Prompt 2, swap in your own audience and learning outcome, and run the full sequence. The ALTO structure works for any topic — software rollouts, onboarding, compliance, process training, you name it.
Sample Work
The following materials are examples of instructional design work I've built. They represent the same methodology demonstrated in this session — audience-first design, structured facilitation, and content that gives learners something they can use immediately.