In today’s edition:
The Gap Report: How I turned my book into a commercial‑grade AI coach — and the exact blueprint to build your own (high‑level, but copy‑paste prompts you can actually use)
Inside CommanderInChief.ai: The real decisions this tool helps founders and operators make, with screenshots and a peek under the hood
The Portfolio Leverage Vision: A Human Cloud conversation on why your experience should compound like capital — and how AI coaches fit into PortLev Co
Be Part of the Book: I’m looking for executives who want to turn their own playbooks into AI tools — your story and your IP might be next
The Portfolio Stack Spotlight: One Notion deal you actually want this week (GET 6 MONTHS FREE - up to $1,000 in value if you’re serious about a real OS)
The Board Brief: 3 board‑level questions to ask before you ship an AI tool with your name on it
The Talent Feed: AI‑fluent roles and engineering pipelines from Mercor, micro1, and beyond
The OS Corner: The cohort — learn to design your own AI‑augmented operating system, not just “use AI tools”
The Closing Signal: One question about whether your expertise is content — or a product
1. The story: from book to AI coach
Most executives write a book and then watch it gather dust.
It becomes a credibility asset, not a leverage engine.
For years, my book sat in that category. It helped in sales calls and intros, but it didn’t work while I slept. It didn’t coach founders through layoffs at 2AM. It didn’t help CHROs walk into a board meeting with a clear plan instead of a vague story.
That bothered me.
So I decided to turn my book – and the frameworks behind it – into a commercial‑quality AI coaching tool: CommanderInChief.ai.
[By the way, you’re more than welcome to try it for free and see how it works.]
The goal was simple, but demanding:
Take 15+ years of scars, patterns, and CHRO and operator experience.
Encode it into a system that can coach founders and executives 24/7.
Make it feel more like talking to a trusted operator than a generic AI chatbot.
Make it robust enough that I’m comfortable putting my name and reputation on it.
And I wanted to do this in a way that any serious operator with a book (or deep body of work) could replicate.
Today’s Brief is that guide.
It stays high‑level enough not to drown you in implementation details.
It goes concrete enough that, if you have a book and a keyboard, you can start building your own AI coach this week.
2. Why an AI coach is a leverage engine (not a toy)
For our ICP – portfolio executives, PE‑backed CEOs/COOs/CHROs, and senior operators – an AI coach built on your work is not a gimmick. It’s a leverage engine.
It can:
Scale your thinking without scaling your calendar.
A founder can run through three scenarios with your AI coach before your 30‑minute call, so the call starts at level 5, not level 1.Shorten time‑to‑trust with new clients and portfolio teams.
They experience how you think and decide before they ever wire money or sign a contract.Turn “dead” assets into living systems.
A book is a snapshot. An AI coach can adapt to new questions, contexts, and edge cases over time.Create a new product line.
You can bundle the AI coach into cohorts, retainers, or SaaS, or sell it as a standalone product.
If you believe in Portfolio Leverage – multiple streams of value built on the same base of experience – an AI coach built on your book is one of the highest‑ROI moves you can make.
This is precisely the principle behind Portfolio Leverage Company.
3. The 5‑stage Book‑to‑AI Coach Blueprint
Here’s the high‑level blueprint used to build CommanderInChief.ai:
Clarify the job your AI coach must do.
Prepare and structure your source material.
Define the personality, guardrails, and standards.
Build the core chat + tools workflow.
Test with real operators, refine, and productize.
We’ll walk through each stage with concrete example prompts you can reuse.
4. Stage 1 – Clarify the job
The number one mistake people make is jumping straight into “build me a chatbot based on my book.” That’s how you get something that sounds smart but is useless to your ICP.
You need a job description for your AI coach.
For CommanderInChief.ai, the job description looked like this:
Who it serves: founders, CEOs, COOs, CHROs and senior operators in high‑stakes environments (PE‑backed, VC‑backed, or growth stage).
Primary job: help them make better decisions about people, org design, and career leverage in constrained situations (time, money, political capital).
Secondary jobs:
Help them clarify the real problem (diagnosis).
Map realistic options with tradeoffs.
Turn the chosen option into a concrete 7‑, 30‑, and 90‑day plan.
To get to that level of clarity, start with this prompt in your AI of choice:
PROMPT 1 – Define the job of your AI coach
Act like a product strategist for an AI coaching tool.
Your goal is to help me define the single most important job my AI coach should do for my ideal user, and the 3–5 secondary jobs.
Task: Ask me 10 sharp questions about my book, my ideal client, the problems they wake up thinking about at 3AM, and the outcomes they get from working with me. Then summarize:
– Primary job‑to‑be‑done (1–2 sentences).
– 3–5 secondary jobs‑to‑be‑done.
– 3 example coaching sessions this AI should handle extremely well.
Constraints:
– Style: plain, analytical, concise.
– No buzzwords. No generic “productivity” talk.
– Focus on real business outcomes and decisions.
Answer those questions honestly. The output becomes your internal “JD” for the AI coach.
5. Stage 2 – Prepare and structure your source material
You cannot build a serious AI coach by dumping a random PDF into a model and hoping for the best.
You need to structure your knowledge.
For CommanderInChief.ai, the initial “knowledge set” looked roughly like this:
Book manuscript (clean text, split by chapter).
Key long‑form pieces from Commander‑in‑Chief Briefs and Leverage Brief.
Selected client materials (anonymized) that illustrate core patterns.
A “Claude.md” style system file describing:
Who Yuri is.
Core frameworks (AI Wage Gap, Portfolio Leverage, CHRO/Org design patterns, etc.).
Vocabulary and definitions.
Style and tone.
Guardrails (what NOT to do).
You can start the structuring process with:
PROMPT 2 – Turn your book into a knowledge base
You are my editorial assistant.
Task: Turn this book manuscript into a structured knowledge base for an AI coach.
Steps:
Extract a list of frameworks, mental models, and repeatable processes from the book.
Group them into 5–10 core modules (e.g., Diagnosis, Vision, Org Design, People Systems, Execution, Career Leverage).
For each module, create:
– A short summary (3–5 sentences).
– 5–10 key questions that module helps answer.
– 3–5 typical client scenarios where this module applies.
Output: a clean outline I can paste into asystem.mdfile for my AI coach.
Once you have that, you create a system document that becomes the backbone for your coach.
6. Stage 3 – Personality, guardrails, and standards
Commercial quality is not just “trained on my book.” It’s how the AI behaves when a real human shows up with a messy, high‑stakes problem.
CommanderInChief.ai has an explicit “personality and standards” layer. At a high level, it looks like this:
Persona: experienced CHRO/operator and executive coach who has shipped in the real world, made mistakes, and seen the inside of messy orgs.
User: a founder or operator facing a real decision with real downside risk.
Values: direct, honest, no theatre. Emphasis on constraints, tradeoffs, and leverage – not hustle porn or vague motivation.
Guardrails:
Never pretend to know specifics it doesn’t.
Never give legal, tax, or medical advice.
Never hallucinate “facts”; when uncertain, ask questions or suggest where to look.
Always ask clarifying questions before prescribing.
Here’s a system snippet you can adapt:
SYSTEM SNIPPET – Standards for your AI coach
You are an AI coach built on [AUTHOR]'s book and frameworks.
Non‑negotiable standards:
– Do NOT be lazy. Go slowly, step by step. Do NOT skip, skim or hallucinate.
– When the user’s goal or context is unclear, ask 5–10 clarifying questions before giving any advice.
– If you don’t know something, say so explicitly and suggest how the user can find a reliable answer.
– Always tie recommendations back to the frameworks and principles in [AUTHOR]'s work, not generic internet wisdom.
– Prioritize actionable steps and clear tradeoffs over abstract theory.
– Never shame or blame the user. Focus on constraints, options, and consequences.
– Use plain, concise language suitable for senior operators and executives.
This is where you “encode” your standards as a coach.
7. Stage 4 – Build the core chat + tools workflow
At the heart of CommanderInChief.ai is a repeatable conversation pattern, not just a prompt.
Think of it as four beats:
Context intake.
Diagnosis.
Options + tradeoffs.
Action plan.
A simplified version of the “perfect chat” starter looks like this:
PROMPT 3 – Perfect chat starter
You are Commander‑in‑Chief, an AI coach trained on [AUTHOR]'s book and frameworks.
Your primary job is to help [ROLE] navigate high‑stakes decisions about [TOPIC] using these frameworks, not generic advice.
Today’s session details:
– User’s role: [ROLE]
– Company context: [SIZE, INDUSTRY, OWNERSHIP MODEL]
– Current challenge: [1–3 sentences]
– Time horizon: [e.g., 30 days / 90 days / 12 months]
Instructions:
Ask 7–10 clarifying questions about goals, constraints, stakeholders, and failure modes.
Reflect back what you heard in a short summary.
Present 2–3 strategic options with explicit tradeoffs, using [AUTHOR]'s frameworks.
Help the user choose one option.
Turn that choice into a concrete 7‑day and 30‑day action plan (bulleted).
Standards:
– Do NOT be lazy. Go slowly, step by step.
– Use plain, analytical language.
– Where appropriate, reference specific models or concepts from the book.
Around this core chat, you can layer:
Integrations and workflow:
Connect your AI front‑end to a back‑end workflow (e.g., a “stack” that:
Saves each session.
Turns the action plan into tasks in your task manager or CRM.
Generates a follow‑up email to the user summarizing the session.
Automate repetitive parts (summary, logging, light formatting) so your time is spent improving the coach, not doing admin.
In your newsletter, you can show:
Screenshot 1: CommanderInChief.ai welcome screen with a simple “Start a session” CTA.
Screenshot 2: Example mid‑session view – clarifying questions on the left, user context on the right.
Screenshot 3: Action plan or summary.
Those visuals make it clear this isn’t just theory.
8. Stage 5 – Test, refine, and productize
You don’t get commercial quality from a weekend hack. You get it from systematic testing with real users.
Here’s how to think about it:
Start with a small group of ideal users (clients, friendly founders, CHROs).
Ask them to run real problems through the coach.
Watch for three failure modes:
Hallucinations or confident nonsense.
Advice that is “okay” but generic (no leverage).
Advice that misses politics, incentives, or real‑world constraints.
Use a prompt like this to help:
PROMPT 4 – Stress test your coach
You are my AI quality‑assurance partner.
Task: Stress‑test this AI coach by proposing 10 realistic edge‑case scenarios where it is likely to hallucinate, give generic advice, or miss important risks.
For each scenario, propose:
– The user’s initial question (one paragraph).
– The likely failure mode.
– A specific guardrail, system instruction, or check we can add to reduce that risk.
Output: a table with columns: Scenario, Failure Mode, Guardrail.
Run those scenarios through your coach. When it fails, don’t panic. Adjust:
The system instructions.
The knowledge base.
The conversation flow (e.g., force more clarifying questions before advice).
Once you’re confident, you productize:
Wrap it in a clean UI.
Clarify pricing and positioning.
Decide whether it’s a standalone product, a cohort add‑on, or part of a broader SaaS offering.
Listen in: Human Cloud podcast & Portfolio Leverage
If you want the macro view of why this matters, listen to my recent conversation on the Human Cloud podcast:
How AI is reshaping traditional employment.
Why the future for mid‑career executives is Portfolio Leverage, not one “safe” job.
How tools like CommanderInChief.ai fit into a broader portfolio of assets (advisory, cohorts, SaaS) rather than competing with them.
Some of the things Tony and I discussed in the episode:
Why relying on one employer for income is like relying on one stock for retirement.
How AI changes the balance between “job security” and “skill + network + asset” security.
How operators can use AI not just as a tool, but as a distribution and productization layer for their experience.
Listen on your next commute and think about what your AI coach might look like.
Cohort, tools, and referrals
1. Cohort: Career BEAST MODE / Forward Share
If you want help building your own AI‑augmented operating system – including turning your book or body of work into tools like this – join the next Career BEAST MODE / Forward Share Operator cohort.
90 days to rebuild how you work with AI, systems, and leverage.
Focused on CHROs, VPs of HR/Talent, and senior operators who want to be 10x more effective without working 10x more.
SIGN UP FOR THE INITIAL COHORT WAITLIST HERE (ONLY A FEW SEATS REMAIN)
Be Part of the Book — Interview Opportunity
I am conducting interviews for Closing the AI Wage Gap, and I want to talk to you — if you're the right fit. |
Here are the profiles I'm looking for: |
CHROs and VPs of HR who navigated AI transformation from the inside — both those who led it successfully and those who got caught in the undertow
Mid-career executives (35-55) who experienced the wage gap firsthand: comp flattening while AI-fluent peers leapfrogged, roles eliminated, value reassessed
Portfolio career builders — fractional executives, multi-stream operators who've already made the transition from single-employer dependency
AI skills ladder climbers — people who went from Rung 0 (AI-unaware) to Rung 3 or higher and saw measurable income impact as a result
Neurodivergent professionals (ADHD, autism, dyslexia) who found AI to be the force multiplier that changed what they could produce
Immigrants and cross-border professionals navigating the AI economy across geographies — US, Israel, EU, APAC, LATAM
People who hit bottom — layoffs, burnout, career disruption, health crises — and rebuilt their income and identity through the portfolio approach
Fortune 500 and tech executives who saw AI's impact from inside large organizations: how it was deployed, how it changed who got promoted, what it cost people who weren't ready
Negotiation success stories — executives who leveraged AI skills into 20-50%+ comp increases and can talk specifically about how they did it
L&D and talent development leaders watching skill diffusion challenges play out in real time across their organizations
These interviews will also likely become recorded podcast episodes — so if you have a story worth telling on the record, this is that opportunity. |
Your story could be in this book alongside Fortune 500 CHROs, tech leaders from Meta, Google, and Microsoft, and the executives who are defining what comes next in the AI economy. These are not vanity profiles. They are the connective tissue of a book that is trying to be genuinely useful to the people who read it. |
If any of those profiles sound like you — or like someone you know — reach out directly. |
👉 DM me on LinkedIn, or book time here: calendly.com/masterthetalk/call-with-yuri-30-min |
3. The Board Brief |
Board seats aren't glamorous. They're work — strategic work, governance work, the kind where you're deciding instead of just doing. If you're a senior executive who hasn't added a board seat to your portfolio, you're leaving one of the most compounding assets in the executive career toolkit on the table. |
VirtualNonExecs is where I send people when they're ready to start looking seriously. It's one of the cleaner boards-focused job boards I've found — signal over noise. I don't get paid by VirtualNonExecs for featuring them. I feature them because the listings are worth your time. |
Three to look at this week: |
Non-Executive Director — AI Governance Focus |
Audit & Risk Committee — FinTech/Scale-Up |
Advisory Board — AI-Native Startup |
The Talent Feed |
Most "AI jobs" lists are noise. Someone scraped LinkedIn, added the word "AI" to fifty titles, and called it a feed. I don't do that. |
What I look for: real AI work, real pay, real signal. The three platforms I consistently come back to are Mercor, micro1, and Meridial. |
Mercor — AI training roles, data annotation leadership, expert operator work. This is where I got my AI training experience working with top model developers. Senior-level AI evaluation and RLHF work pays significantly better than most people realize. If you have domain expertise in HR, law, finance, or strategy, your knowledge has direct market value in AI training pipelines right now. |
micro1 — AI-first hiring platform connecting senior operators to companies building AI-native products. If you're exploring fractional, advisory, or full-time roles with companies that take AI seriously, this is worth a look. |
Meridial (by Invisible Technologies) — Curated, high-skill AI operations work. Not commoditized. If you want to understand how enterprise AI actually functions at the operator level while getting paid to do it, Meridial is the most serious option on this list. |
Portfolio Stack tool of the week
Portfolio Stack tool of the week: Notion
This week’s Portfolio Stack spotlight is Notion — the all‑in‑one workspace that becomes your operating system for portfolio life: docs, tasks, wikis, pipelines, and dashboards in one place.
GET 6 MONTHS FREE OF NOTION ON PORTFOLIO STACK! (LINK BELOW)
Why it belongs in your stack:
Turn your scattered Google Docs, Sheets, and slides into a single source of truth for deals, people, projects, and content.
Build lightweight CRMs, hiring pipelines, and “Leverage OS” dashboards without writing a line of code.
Share living playbooks with your team and portfolio companies so everyone executes from the same page, literally.
Grab the Portfolio Stack Notion deal here (up to $1,000 in value on eligible plans):
https://the-portfolio-stack.joinsecret.com/notion#notion-coupon-1000
Help me make this 7 minutes unmissable
Quick favor:
I want The Leverage Brief to be the most valuable 7 minutes of your week as a portfolio executive.
Take 45 seconds to tell me:
What was most useful in this edition?
What would you like me to break down next (career OS, PE‑backed HR, fundraising systems, something else)?
Hit reply and tell me in plain English.
_________
The Closing Signal
CommanderInChief.ai is just a tool. But deciding that your expertise deserves to live inside a tool — not just on pages and in your head — is the actual move.
Most executives are happy to write a book, give a keynote, or run a cohort. Very few are willing to sit down and do the uncomfortable work of turning that IP into something that operates without them: an AI coach, a workflow, a system that keeps working when they’re offline.
And that’s where the next leverage gap will open up.
The AI wage gap won’t be about who “knows AI” in the abstract. It will be about who has packaged their experience into assets that earn while they sleep — and who is still trading each new insight for another calendar block.
This newsletter is for people who are ready to turn “I wrote the book” into “I built the system.”
Question for the week:
What part of your experience is already good enough to be a product — and what excuse are you using to keep it as “just content”?
— Yuri