ChatGPT Training, Taught by a Human
ChatGPT Training for Executives: Learn on Your Real Work
ChatGPT training that works for a busy executive is not another video course—it is hands-on practice on your own documents, with a human teacher who watches how you work and corrects your prompts. Here is what that looks like, hour by hour.
1-on-1 with Pete Enestrom, on your actual work

Written by Pete Enestrom
Yale & Columbia, ex-Microsoft & Intel — 1-on-1 AI coaching for executives

Your coach’s background
Most people searching for ChatGPT training have already done the obvious things: opened a free account, typed a few questions, maybe started a ChatGPT course or watched a ChatGPT tutorial for beginners. The pattern I hear from founders and executives is remarkably consistent. The tool was impressive in the demo. The course made sense while it played. Two weeks later, ChatGPT sat unused in a browser tab. The problem is not you, and it is not the tool—the problem is the format. ChatGPT courses built for everyone teach no one in particular, and a busy executive is a very particular learner.
I'm Pete Enestrom, and I teach ChatGPT to founders and executives one-on-one, on their real work. This page is everything I know about how busy leaders actually learn this tool: where self-serve courses fall short, what effective ChatGPT training looks like instead, three real lesson prompts you can use today, and exactly what a coaching session covers. If you want to learn how to use ChatGPT in a way that survives your calendar, this is the honest map.
What do most ChatGPT courses get wrong?
The executives I coach are not beginners in any meaningful sense—they run companies, read situations well, and learn quickly. Yet most arrive at a first session having abandoned at least one ChatGPT course, usually with some guilt about it. The guilt is misplaced. Self-serve ChatGPT training fails experienced leaders for structural reasons, not personal ones, and the same three reasons surface in nearly every intake conversation I have. They are worth naming plainly, because each one points at what to look for in any training you choose—self-guided or otherwise.
- Generic examples. A course demonstrates ChatGPT writing a marketing plan for a fictional startup; your real work is a board pre-read, a lender update, a hard email to a customer of eleven years. The gap between the demo and your desk is where the learning dies.
- No feedback loop. Nobody watches how you actually prompt, so the habits behind weak output—one-line asks, missing context, accepting the first draft—get rehearsed instead of corrected.
- No your-work context. ChatGPT's value lives in your documents, your voice, and your customers. A recorded lesson cannot paste your materials in for you, and working on your own materials is most of the skill.
Why do busy executives feel this most?
The three gaps above hit busy executives hardest for a simple reason: the calendar. Someone earlier in their career can spend six evenings experimenting until generic lessons start to transfer. A founder with a board meeting on Thursday cannot. The real cost of a mismatched ChatGPT course is never the subscription fee—it is the evenings spent almost-applying it, followed by the quiet conclusion that maybe the tool is not for you. The tool is for you. The format was not.
What does ChatGPT training look like when it works?
Effective ChatGPT training starts on your real documents, not on exercises. In practice, that means a session opens with something already on your desk: the investor update due Friday, the customer complaint you have been circling, the forty-page lease you have been avoiding. Working on real material does two things a ChatGPT course cannot. First, the stakes are real, so the quality of ChatGPT's output is immediately and personally obvious—you know within a paragraph whether the draft sounds like you. Second, the practice transfers directly: the workflow you learn in the afternoon is the workflow you use the next morning. Executives who learn ChatGPT on real work keep using it. Executives who learn on exercises keep meaning to.
The second ingredient is a feedback loop, and a feedback loop is the piece no recorded course can provide. Prompting is a skill in the literal sense: you improve through repetitions with correction, the same way you improved at running meetings. In a coaching session, I watch how you actually ask for things—usually too briefly, with the important context still in your head—and I correct the habit in the moment, on your work: add who the document is for, add what a good result looks like, now push back on the draft. Two or three corrected repetitions teach more than hours of video, because the correction lands on your habit instead of on a generic example. Most executives feel the difference inside the first hour.
The third ingredient is what you keep. Every effective ChatGPT training engagement ends with a saved prompt playbook: the exact prompts that produced strong results on your real work, written down so they can be reused and refined. The playbook matters more than it sounds. ChatGPT fluency is not a talent you acquire once—it is a small set of personal, proven prompts that compound in value every time you reuse them. A board-prep prompt refined over three board cycles is worth more than any new technique, because the prompt is yours: your context, your voice, and your standards already baked in. Six months later, my clients are not “using ChatGPT” in the abstract. They are running a dozen saved plays they trust.
What does a real ChatGPT lesson look like?
Every session I run is built from working prompts like these—run on the client's real documents, refined live, then saved into the playbook. Three of the most useful are below. Copy them verbatim, replace the brackets with your material, and notice how much context each prompt carries. That context is the actual lesson.
I'm the CEO of [one line about your company]. Below are my raw notes and this quarter's numbers for our board pre-read. [paste] Draft a one-page pre-read for our directors: the three numbers that moved the most, why they moved, and the two decisions where I need the board's judgment. Plain language, no spin, under 400 words. Then list the three hardest questions a director might ask me about it.
The closing follow-up—asking for the hardest questions—turns a writing task into meeting preparation. Clients keep both halves of this one.
I need to email [who: a long-time customer / a key employee] about [the difficult thing: a price increase / a missed commitment]. Here is the situation and my rough draft: [paste]. Rewrite it to acknowledge the relationship directly, state the hard thing in one honest sentence, and offer a call this week. Under 150 words. Warm and plain—no corporate language, no “we value your business.”
That closing taste instruction is doing real work. It is the difference between a draft you send and a draft you delete.
I'm going to paste a long document: [what it is—a lease, a proposal, an analyst report]. Before you summarize anything, ask me up to five questions about what I'm looking for and why. Then give me a 150-word summary, the three clauses or findings that matter most for someone in my position, and anything that looks unusual compared to standard practice. If you're unsure about something, say so instead of guessing.
“Ask me questions first” is the highest-leverage sentence in prompting. We end up stealing it for almost every workflow a client builds.
What does a 1-on-1 ChatGPT coaching session cover?
My starting format is the Deep Dive: two hours, one-on-one, on your real workload—no slides, no audience, no homework. Here is the shape of the two hours, so you know exactly what you are booking before you book it.
First 30 minutes: the workflow audit
We map where your week actually goes—recurring writing, reading, prep, and follow-up—and mark the tasks ChatGPT can genuinely take a first pass on. Most executives arrive with two workflows in mind and finish the audit with eight, ranked by the hours each one hands back. The audit also sets your boundaries: what never goes into the tool under your company's rules.
The middle hour: hands-on with your files
We open your real documents and work the highest-value workflow from the audit, live. You drive; I watch how you prompt and correct in the moment—more context, a clearer brief, a firmer pushback on the first draft. You finish the hour with a piece of real work done and a corrected habit already forming.
Final 30 minutes: your prompt playbook
Every prompt that worked gets saved, named, and organized into your personal playbook—your board-prep prompt, your difficult-email prompt, your long-document prompt—each written with placeholders so the next use takes minutes instead of a blank page. The playbook is the artifact that makes the training hold after the session ends.
After the session: reps on your calendar
We pick the two or three plays you will run every week and attach each one to an existing slot in your calendar, because fluency comes from repetitions on real work, not from one good afternoon. When you are ready, a follow-up session reviews what stuck and sharpens what did not.
Is 1-on-1 ChatGPT training right for you?
Honest answer: not everyone should book coaching, and I would rather say so on this page than on a call. Here is the dividing line as I draw it after years of teaching this tool to executives.
A good fit
- You run or help run a company, and your week is mostly reading, writing, prep, and decisions.
- You have tried ChatGPT—maybe even finished a ChatGPT course—and it never became a habit.
- You want to learn on your real work and can bring actual documents to a session.
- You would rather be corrected once by a person than rehearse the same mistakes alone for a quarter.
- You want a saved playbook of prompts you will still be running six months from now.
Not the right fit
- You want a certificate or a graded curriculum—a ChatGPT course serves that purpose better.
- You have never opened ChatGPT at all—a week of free self-practice comes first; coaching is the accelerator, not the on-ramp.
- You want someone to build AI systems or automations for your company—that is implementation work, not teaching.
- You prefer learning alone at your own pace—self-teaching genuinely works, and the first half of this page is all you need to start.
How do you get started?
If you are unsure which side of that line you are on, here is the test I suggest: open ChatGPT, run one of the three lesson prompts above on a real document from this week, and watch what happens. If the output delights you and you are still using the tool a month from now, self-teaching is working—keep going and save your money. If the output comes back close-but-wrong and you cannot tell how to fix it, that gap is exactly what a human teacher is for. Not an AI coach bot, not another recorded course—a person who watches how you work and corrects it.
The booking button below puts a session on my calendar. Bring your real workload—the board deck, the inbox, the document you have been avoiding—and we will spend the time on that. If it turns out a free ChatGPT tutorial is the right next step for you, I will tell you that instead.
1-on-1 & team training
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Your coach
Coached by Pete Enestrom
Yale and Columbia grad, former Microsoft and Intel, and a venture-backed exited founder. Pete has spent the last four and a half years going deep on every major AI tool, and he teaches the way operators learn: on your real work, at your pace, with nothing assumed.

Common questions
Straight answers, the way I'd give them across a table.
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