Explain what you learned to a panel that won't settle for "it was cool," then grade the panel. Eight short steps.
Leading a team? We run this as live training, with your people practicing on their own work.
Ask about team training →Whole finale: 45–60 minutes
You've built a notebook, raised a ghost, caught a chatbot cheering for both sides, and made a survey confess. The finale asks you to explain all of that out loud, to a panel that won't let you get away with "it was cool."
The panel will ask three questions, the same three a hiring manager might ask you about AI:
You'll walk out with a Field Report, a short write-up of what you can do now and how you know. Send it to us and we'll read it and write back. Every one.
About 10 minutes
Open your Bootcamp Reflections notebook in Gemini Notebook. Every recording you made is in there. Ask it for the raw material:
List what I made or tried in each quest, using my own words from the recordings.
Find a moment where an AI fooled me, flattered me, or tried to. Quote what I said about it.
Click a couple of the citations and listen to yourself. Jot down three or four specifics you'd want to mention in an interview.
If the notebook comes back thin, you may have fewer recordings than you think. Record a quick one now about whichever quest stuck with you most, upload it, and ask again.
About 10 minutes
Before any AI weighs in, answer the three questions yourself. Record it, like every reflection so far:
Aim for a couple of minutes. Use the specifics from Move 1. Upload it to Bootcamp Reflections and title it "Exit Interview: My Answers."
Then write each answer down in two or three sentences. You'll paste them into the panel next.
This order matters. Answering first means you'll know which parts of the panel's feedback are new to you, and which parts you already suspected.
About 15 minutes
Your panel is our AI Advisory Board, one free prompt that turns your AI into five advisors: a no-nonsense coach, a chess master, an alchemist, a north star, and a diplomat.
I just finished a self-guided AI course. I claim I can now use AI critically: I notice when it flatters me, I push back, and I check its work before I trust it. Treat that claim as the challenge. Here are my own answers to three interview questions. 1. How do I use AI, at work and outside it? [YOUR ANSWER] 2. What have I built with it? [YOUR ANSWER] 3. What came of it? [YOUR ANSWER] The other party is a skeptical hiring manager reading my answers. Be hard on vague answers, and ask me for specific examples.
Send it. Read all five advisors and the synthesis at the end. When it asks follow-up questions, answer them.
If it answers only one or two advisors and stops, reply with "Continue with the remaining advisors and the synthesis."
About 10 minutes
The panel just graded you. Now return the favor. Go back through its answers with Quest 3 in your pocket:
If the whole panel went easy on you, ask for the critic, in the same chat:
You went easy on me. Which of my three answers would a skeptical hiring manager find weakest, and what would they ask next?
This is the whole course in one step. You're using AI and watching it at the same time.
10–15 minutes, mostly listening
Back in Gemini Notebook, open Bootcamp Reflections, make sure every source is checked, and generate an Audio Overview from the Studio panel, the same way you did in Quest 1.
In Quest 1 the hosts talked about Mary Shelley. This time the subject is you, and how you learned across the course, in your own recorded words.
Listen to it, then do what you've practiced all course. What did the hosts get right about you? What did they get wrong, smooth over, or make sound more heroic than it was?
About 10 minutes
Now write the thing you'll send us. Keep it to about 150 words, in your own voice. Use this shape:
What I can do now that I couldn't before Bootcamp:
One thing I made, and what came of it:
One time an AI got something wrong, or flattered me, and I caught it:
What I'll do differently at work because of it:
If you ask your AI to tighten your draft, compare the two versions side by side before you keep anything. Did it make you sound more impressive than you were? Put the real parts back.
You finished AI Bootcamp. Here's the last step, and it's the one with a real person at the other end.
We read every Field Report and write back to each one. With your permission, a few end up featured in The TL;DR, our biweekly newsletter.
Posting it on LinkedIn? Tag Learn to Scale so we can find it and cheer.
Then go touch grass one last time. You earned it.
Bootcamp is the do-it-yourself version of what we run for organizations. In the live version your people practice these habits on their own work, with us in the room, and the exit interview turns into a conversation the whole team learns from.
Ask about team training →Tell us what's going on with AI where you work and we'll point you at the right first step, even if it isn't one of ours.
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