§ 01
One-Page Snapshot
Course Overview
A facilitator should be able to read this single section and know exactly what they're teaching, to whom, and why.
Session Title
Building an AI Native Mindset
What This Session Is About
Shifting working professionals from casual AI use to systematic collaboration — and from one-off prompts to repeatable AI-native workflows.
Why It Matters
The professionals who learn to think with AI — not just ask it questions — will compound their value over the next decade.
Intended Audience
Working professionals who already use AI casually but aren't yet using it systematically.
Prerequisites
Has used ChatGPT or Claude at least 5 times. Active account they can log into on their laptop. No coding required.
Tools Used
ChatGPT or Claude. Free tier covers Modules 1–5; paid tier helpful for Module 6 demos (file uploads, Custom GPTs / Projects).
Total Time
~3.5 hours, including two 10-minute breaks.
Accessibility
Slides use 24pt minimum. Demos narrated aloud as they happen. Captions enabled if recording. Printed handouts available in 14pt on request.
Learning Outcomes
By the end of the session, participants will be able to:
- Shift from one-off prompts to multi-turn collaboration with AI.
- Give AI better context, constraints, examples, and source material using the CRAFT framework.
- Use structured prompting for more reliable outputs.
- Turn their professional judgment into reusable prompts, rubrics, and workflows.
- Use AI for research, synthesis, writing, and communication.
- Identify three categories of AI risk — hallucination, data exposure, reputation — and apply human-in-the-loop review.
- Design one larger AI-native workflow they can continue building after the session (the Personal AI System capstone).
Core Thesis
AI-native professionals don't just use AI to answer questions. They use AI to rethink how work gets done. They look at emails, documents, spreadsheets, meetings, research, and manual data entry and ask: "Can AI summarize, extract, classify, draft, compare, recommend, or automate this?"
Course Thesis
§ 02
Minute-by-Minute
Run of Show
If you fall behind, the cues below show what to compress. Never skip Module 3 — it's the workshop's center of gravity.
| Time | Type | Topic / Activity | Facilitator Cues |
|---|---|---|---|
| 0:00–0:07 | Opening | How AI Actually Works Mental model before any prompting. ML, language models, black box, what AI knows vs. what only you know. Old way vs. AI-native framing. |
5–7 min. Walk Old/AI-Native table aloud with one concrete example per row. |
| 0:07–0:32 | Module 1 | The AI-Native Mindset The paradigm shift, not the prompt. Same workflow, you move to the middle. |
25 min. Callback to opening question. Land the "redesign the workflow with AI in it" frame. |
| 0:32–0:57 | Module 2 | Prompting — CRAFT Context · Role · Action · Format · Tone. Five letters, five questions, one good prompt. |
25 min. Each letter gets one sentence. Run the before/after demo. Hand out template card. |
| 0:57–1:27 | Module 3 | Encoding Subject Matter Expertise Rubrics, checklists, role-specific systems. Build one. |
30 min. ⏰ TIME CHECK at 1:20. Never cut this module. |
| 1:27–1:37 | Break | 10-minute reset Coffee · stretch · quick questions |
Reset projector. Pull up Module 4 first slide. |
| 1:37–2:02 | Module 4 | AI Risks, Hallucinations & Guardrails Three warnings, one habit. Lawyer case · Samsung case · Sports Illustrated case. |
25 min. Don't moralize. These are warnings, not lectures. |
| 2:02–2:27 | Module 5 | Research, Synthesis, Writing, Communication Live transformation of messy notes → polished output. |
25 min. Use a participant's real material if anyone volunteers. |
| 2:27–2:37 | Break | 10-minute reset Coffee · stretch · quick questions |
Reset projector. Pull up Module 6 first slide. |
| 2:37–3:02 | Module 6 | AI Beyond the Chat Window Where AI is heading next. One live demo of embedded AI (Gmail, Docs, Sheets, etc). |
25 min. Pick ONE tool to show end-to-end. Don't tour. |
| 3:02–3:17 | Module 7 | Small, Low-Risk AI Projects 5 starter projects. Each participant picks one. Commit before they leave the room. |
15 min. Project cards live on tables. |
| 3:17–3:32 | Module 8 + Wrap | Capstone — Your Personal AI System One workflow, two weeks to v0.1. Workflow mapping. Take-home brief. Final Q&A. |
15 min. Set follow-up cadence: Day 3 nudge, Week 2 share-out. |
If You're Behind
At the 1:20 time check (mid-Module 3): cut Module 4's third risk example (Sports Illustrated) to save ~4 min. Run only one Module 5 transformation instead of two to save ~6 min. If behind after the second break: collapse Module 6 to a 15-minute single demo and protect the capstone. Never cut Module 3. Never cut either break.
§ 03
Deck Standards
Slide Deck Guide
The deck is a runway, not a script. One idea per slide. Speaker notes carry the weight.
Design Requirements
One main point per slide
If a slide has more than one headline, split it. Facilitators should never have to choose where to look.
Visual over textual — images, diagrams, key phrases
No paragraphs on slides. If you wrote a sentence, move it to speaker notes. Use icons, real-interface screenshots, and the side-by-side prompt comparison format.
Speaker notes include timing, analogy, and check-in question
Each note block contains: (1) the 1–2 ideas to land, (2) a plain-language version, (3) one analogy, (4) one question to ask the room, (5) common misconception, (6) minutes to spend. Flag skippable slides with ⏰.
Timing cues visible to facilitator only
Use presenter view. Each section title slide shows the cumulative clock (e.g., "00:40 — Module 2 starts here"). Prevents the most common failure: silent rushing.
Flag skippable content explicitly
⏰ TIME CHECK — Skip if running behind. The slides to drop, in order, when time is short: Module 4's third example (Sports Illustrated), Module 5's second transformation variation, Module 6's second tool tour.
Slide Counts by Section
Rough target counts. Adjust to your style.
- Opening: 6–8 slides (3 for "How AI Works," 1 for Old/AI-Native table, 2–3 for framing).
- Module 1: 4 slides (1 intro, 1 callback to opening question, 2 for the workflow shift diagram).
- Module 2: 8 slides (1 intro, 5 for each CRAFT letter, 2 for the template card).
- Module 3: 7 slides (1 intro, 2 for rubric building, 2 for role examples, 2 for activity).
- Module 4: 5 slides (1 intro, 3 for the failure examples, 1 for human-in-the-loop).
- Module 5: 4 slides (1 intro, 1 for transformation patterns, 2 for demo).
- Module 6: 5 slides (1 intro, 1 for the landscape, 3 for the live demo).
- Module 7: 6 slides (1 intro, 5 project cards).
- Module 8 + Wrap: 5 slides (1 capstone intro, 1 worksheet, 2 example capstones, 1 next steps).
§ 04
Contingency Plans
What Could Go Wrong
Every scenario below has happened in a real session of this workshop. The recovery is your job — the plan is ours.
AI tool crashes mid-demo
Switch immediately to backup screenshots in
/boxkit/demo-backups/. Don't try to debug live — that kills 5 minutes. Narrate the screenshots with the same beats. Move on within 30 seconds.Wi-Fi or projector fails
Pivot to printed worksheets. Use the whiteboard to write CRAFT and the rubric example. Module 3 runs entirely offline if needed — it's the most worksheet-friendly module.
Running behind by 10+ minutes
If you catch it at the 1:20 time check (mid-Module 3): cut Module 4's third risk example (Sports Illustrated) to save ~4 min, run only one Module 5 transformation instead of two to save ~6 min. If you catch it after the second break: collapse Module 6 to a single 15-min demo and protect the capstone. Never cut Module 3 or either break.
Finishing early by 15+ minutes
Open the floor to "show me a prompt you've sent." Workshop them live with the room. Most engaging way to fill time and reinforce CRAFT.
Learners visibly lost
Stop. Don't push through. Ask: "What's the one thing that just stopped making sense?" Re-explain that one thing with a different analogy. The rest of the session depends on this.
Quiet room, no one answering
Switch to table-level. "Table 1, give me one answer." Pairs and small groups always outperform full-room cold-calls. If still quiet, name it: "We're warming up. That's normal."
A learner is monopolizing
Validate, then redirect. "Great point — let's hear from someone else who's been quieter." Don't shame. If it continues, talk to them at the break privately.
Hostile or skeptical learner ("AI is hype")
Don't argue. "Fair — and here's a real workflow from a peer in your role that saved them 6 hours/week. Try it for a week, judge the data." Move on.
Demo produces a bad/weird output
Lean in. "Perfect — this is exactly why we don't ship anything without review. What's wrong with this output?" Turn the failure into Module 4 (risks) early.
Mixed cohort — some way ahead, some way behind
Pair fast learners as table mentors. Hand stuck learners the "starter scenario" cards. Use challenge extensions to keep the fast ones busy without leaving the slow ones behind.
A learner wants to paste real confidential data
Stop them gently. "Hold on — let's not put that in. Use the anonymized version on the worksheet, or describe the situation without specifics. Module 4 covers why."
§ 05Pre-Flight
Before the Session
Before the Session
- Review slides end-to-end (60 min)
- Practice all three demos twice
- Test all tools and logins
- Open all links in advance in browser tabs
- Check internet, audio, projector
- Print worksheets (1 per learner + 5 spare)
- Prepare 2 personal examples for Old/AI-Native table
- Capture fresh backup screenshots
- Confirm Module 3 examples match cohort roles
- Set timer for module transitions
- Review "What Could Go Wrong" section
- Bring whiteboard markers (3 colors)
- Eat. Hydrate. You'll be talking for 3 hours.