THE LEVERAGE BRIEF

Weekly intelligence for Portfolio Executives closing the AI Wage Gap.

Edition #3: Your Claude Terminal Is Your New Office — Plus: PortLev.com Is Live, The Book Is Real, and I Need Your Story

Quick note: you are here because you are in my Linkedin or real-life network, or subscribe to Commander-in-Chief Briefs .

In today's edition:

  • The Gap Report: Why I'm teaching a Claude course — and a complete, usable prep guide to set up your terminal before we start (real commands, real steps, no fluff)

  • Introducing PortLev.com: The umbrella platform I've been building toward for three years — and what it means for you

  • The Book: The full 17-chapter table of contents for Closing the AI Wage Gap — and I want your honest reaction

  • Be Part of the Book: I'm interviewing executives for it. Your story belongs in it.

  • The Portfolio Stack Spotlight: One AI tool deal you actually want this week

  • The Board Brief: 3 board seats worth your attention

  • The Talent Feed: AI roles from Mercor, micro1, and Meridial

  • The OS Corner: The cohort. Spots are nearly gone.

  • The Closing Signal: One question for your week

1. The Gap Report

Your Claude Terminal Is Your New Office — A Course Prep Guide

Let me tell you what I did last Tuesday at 11pm after my kids were in bed.

I opened my terminal, typed claude, and spent two hours refining an AI fundraising CRM I built for a Jewish nonprofit client. The system can now pull donor histories, surface giving propensity signals, and draft outreach copy — all from a terminal I couldn't have touched eighteen months ago.

I have a law degree from Cardozo. I have never taken a programming class. I am a 3x Fractional CHRO who spent years telling executives how to build teams, transform HR functions, and survive the politics of large organizations. I am not a developer.

And yet I have now built eight real, working AI tools using Claude Code. Not prototypes. Not demo slides. Real tools that clients use, that I use, that generate revenue and save hundreds of hours.

This is why I'm teaching a course on Claude.

Not because it's trendy. Not because "AI is the future" is a sentence anyone needs to hear again. But because I watch smart, experienced executives — people who've run 50-person HR functions, advised boards, negotiated nine-figure deals — flinch at the word "terminal" and assume this world isn't for them. That assumption is costing them. Badly.

Here's what most people miss: Claude isn't one thing. It's three, and knowing the difference changes everything.

Claude Chat is what most people know. The browser interface. You ask a question, you get an answer. Every conversation starts fresh. It's excellent for quick thinking — drafting, brainstorming, summarizing. But it doesn't know your files. It doesn't remember your last session. You're always driving from scratch.

Claude Cowork is the desktop agent — the version that can read and write to your actual files, execute multi-step tasks autonomously, connect to Google Drive, Gmail, and other tools. You delegate work to it, not just conversation. It delivers finished output, not responses. This is powerful. But it still has limits.

Claude Code is the terminal-native version. It runs on your local files. It has deep awareness of whatever project you point it at. It can reason through complex, multi-step problems, show you its plan before it acts, and execute with your permission. It's the most intimidating. It's also the most powerful — and the one most executives are leaving entirely on the table.

The terminal scared me for months. The day I stopped being scared was the day my leverage started compounding.

The Deep Guide: How to Set Up Claude Code and Start Building Real Tools - as a Non-Coder

I want you to get over your fear of building with AI - and JUST. GET. STARTED. Here's exactly what to do right now — step by step, zero assumed technical knowledge.

Prerequisites

Before you install anything, confirm you have:

  1. A Claude Pro subscription — at minimum $20/month at claude.ai. (Claude Max gives you more usage if you plan to use it heavily.) You need a paid account to access Claude Code.

  2. Node.js installed — this is the runtime that Claude Code runs on. Go to nodejs.org and download the LTS version. Run the installer. Done.

  3. A terminal — Mac users have Terminal.app (search Spotlight for "Terminal"). Windows users: use Windows Terminal or the terminal built into VS Code. If you're on Linux, you already know where it is.

  4. A supported OS — macOS, Linux, or Windows 11. If you're on Windows 10, consider upgrading or using VS Code's integrated terminal.

That's it. You don't need to know what Node.js does. You just need it installed.

Installation

Open your Powershell terminal (just Type Powershell in your Search Bar at the bottom of the Windows icon). Copy and paste one of the following commands and press Enter:

text

npm install -g @anthropic-ai/claude-code

Or, if you prefer a one-line installer:

text

curl -fsSL https://claude.ai/install.sh | sh

Either works. The npm command is slightly more transparent; the curl command is faster. Pick one.

Wait about 30 seconds. You'll see a bunch of text scroll by. That's normal.

First Launch

Navigate to any folder on your computer where you do real work. If you're on a Mac:

text

cd ~/Documents/my-project-folder
claude

On first launch, Claude Code will:

  1. Ask you to choose a color theme (pick what you like)

  2. Prompt you to log in with your Anthropic account — the same email you use for claude.ai

  3. Ask you to "trust" the current directory — type yes

You're in. The cursor blinks. This is your new office.

Key Concepts Every Non-Coder Needs to Understand

Before your first real session, get these five concepts locked in:

CLAUDE.md — Think of this as the briefing document Claude reads at the start of every session. You create a file called CLAUDE.md in your project folder and fill it with whatever Claude needs to know: who you are, what the project is, what your preferences are, what it should never do. Every time you start a session in that folder, Claude reads it first. This is your persistent memory. Without it, Claude starts cold every time.

Output Styles — Claude can respond in different modes: formal, casual, detailed, concise. You can set preferences in your CLAUDE.md or configure them per session. If you want shorter responses, tell it. If you want it to always show its reasoning, tell it.

Skills — Specialized, repeatable workflows you define once and reuse. If you regularly ask Claude to summarize board reports in a specific format, that becomes a skill. You define it. You call it. Claude executes it the same way every time.

Plan Mode — This is the one I want you to use from day one. Before Claude does anything significant, Plan Mode makes it show you exactly what it's going to do — step by step — and wait for your approval before acting. Type /plan and Claude presents its full reasoning. You review. You say go. No surprises. For non-coders, this is your safety net.

Custom Commands — Shortcuts you create for tasks you repeat. /review, /summarize, /draft-email — whatever you need. You define the prompt once, give it a slash command, and call it any time.

Essential Slash Commands

Command

What It Does

claude

Start a new session

/help

Show all available commands

/plan

Enter Plan Mode — Claude shows its reasoning before acting

/clear

Clear the conversation history

/cost

Show how many tokens you've used in this session

/compact

Compress the conversation to save context window space

What to Expect in Your First Session

Your first session will feel slow. That's fine. Here's a realistic first prompt:

"I'm a senior HR executive. I want to use you to help me organize my consulting notes into a structured client knowledge base. Start by asking me about one client, then suggest a folder and file structure I could use."

Claude will ask follow-up questions. Let it. This is how you calibrate it. Your job in the first session isn't to build anything — it's to learn how Claude thinks, what kinds of instructions it responds to best, and where it surprises you.

By session three, you'll be moving faster than you thought possible.

Next week, I'm going to break down exactly how I built one of my eight AI tools — from A to Z — in plain language any advanced generalist can follow.

Here are the eight tools I've built using Claude Code:

  1. ChaiRaise — AI-powered HNW donor CRM for Jewish nonprofits

  2. Commander in Chief AI — My personal AI chatbot (yes, I built my own)

  3. DueDrill — VC/startup due diligence engine

  4. PolicyPilot AI — HR policy AI agent for enterprise clients

  5. BookToCourse.AI — Converts books into structured learning courses

  6. Career Beast Mode app — AI-powered career transformation platform

  7. HR transformation workflows — Custom AI pipelines for clients undergoing HR transformation

  8. PE/VC fund operations agent — AI-driven ops intelligence for fund management

Which one do you want me to break down first? Hit reply and tell me. I'll pick the most-requested one and build the entire next issue around it.

— Yuri

Introducing Portfolio Leverage Company (PortLev.com)

Three years ago, I was rebuilding from scratch. Burned out, burned some bridges, and running out of runway in ways I wasn't ready to admit publicly. I had a law degree I wasn't using, a CHRO track record I couldn't fully monetize, and a laptop full of notes about what I was learning about AI that nobody in my network seemed to care about yet.

What I had — what I kept coming back to — was a thesis: the executives who survive AI disruption won't be the ones who out-credential anyone. They'll be the ones who build leverage. Multiple income streams. AI fluency. Network nodes. Systems that compound.

I kept building to that thesis. The newsletter. The coaching. The book. The AI tools. The cohort. Each piece was real, each piece was working, but they were scattered. There was no front door.

Today, there is.

👉 PortLev.com is live — Portfolio Leverage Company.

Tagline: Close the AI Wage Gap. Engineer Your Portfolio.

PortLev is the umbrella company I've been building toward. It's not a rebrand. It's a convergence. Everything I've created — the newsletter, the book, the app, the cohort, the marketplace, the custom AI products — now lives under one platform, one mission, one front door.

Here's what's inside:

The Leverage Brief — This newsletter. Weekly intelligence for Portfolio Executives. Free, always.

Closing the AI Wage Gap — The book. 17 chapters. The full playbook for the AI economy. (Full ToC below.)

Career Beast Mode — The AI-powered career transformation app I built for executives who are done with static resumes and single-stream careers. Waitlist is open.

Portfolio Executive Cohort — The 8-week transformation program. For executives who want a peer board, a system, and accountability. Not a course. An operating system.

The Portfolio Stack — A curated marketplace of AI tools and SaaS deals, filtered for Portfolio Executives. No noise. Just what actually works.

Custom AI Products — Real, working tools I've built for clients: ChaiRaise (HNW fundraising CRM), DueDrill (VC due diligence engine), PolicyPilot AI (HR policy agent), BookToCourse.AI (book-to-course converter), Commander in Chief AI (personal chatbot infrastructure). These are available for licensing or custom build engagements.

Who PortLev is for:

Mid-career executives — the 35-to-55 crowd — who feel the AI wage gap narrowing underneath their feet and don't want to wait until their next performance review to figure it out. CHROs and VPs of HR who are being asked to lead AI transformation while quietly wondering what it means for their own careers. Portfolio builders: fractional executives, advisors, multi-stream operators who've already left single-employer dependency behind and want better infrastructure for what they're building. Organizations that need AI transformation done by someone who has actually done it — 30+ HR transformations, AI training delivered for Meta, Microsoft, and OpenAI, 2,300+ executives coached.

I didn't build PortLev because it was the smart brand move. I built it because I got tired of the scattered version. The kitchen-to-CHRO story, the Wharton lectures, the Fast Company and Forbes pieces, the AI course design, the tool builds — all of it was always pointing at the same thing. A platform where executives can close their AI wage gap and engineer a career that doesn't depend on one employer's good mood.

This is that platform.

👉 Visit PortLev.com — Start with this newsletter, explore the cohort, join the Career Beast Mode waitlist. Or just read around. The front door is open.

The Book: Closing the AI Wage Gap

Working title: Closing the AI Wage Gap: A Practical Operating System for Multi-Stream Income in the Age of Automation

Let me be direct with you about why this book exists.

The $1.2 trillion AI wage gap is not a projection. It's already here. Workers with AI skills command a 23-56% wage premium over those without. High-wage salaries have risen more than 30% since January 2023. Low-wage salaries: 10%. That spread is the gap, and it's widening every quarter.

The existing literature on AI and work is either academic (useful but unreadable) or motivational (readable but useless). What doesn't exist is a practical operating system — a real, chapter-by-chapter playbook for an executive or senior professional who wants to know exactly what to do, in what order, starting now.

That's this book.

It draws on hard data from the Dallas Fed, the World Economic Forum, Lightcast, and BLS. It draws on my own experience coaching 2,300+ executives, delivering AI training for Meta, Microsoft, and OpenAI, running 30+ HR transformations, and building eight real AI tools myself. And it will draw on stories from Fortune 500 CHROs, tech leaders, fractional operators, immigrants navigating the AI economy across borders, and people who hit the floor and rebuilt their careers from there.

Here is the full Table of Contents. I want your honest reaction to it.

Chapter 1: The Opening
Personal story — from the school kitchen to CHRO to rebuilding. The $1.2T wage gap isn't coming. It's here.

Chapter 2: The AI Wage Gap by the Numbers
Hard data. Dallas Fed, WEF, Lightcast, BLS. What the numbers actually say about your role, your industry, your comp trajectory.

Chapter 3: The New Invisible Class System
Three classes of workers in the AI economy. Which one are you in right now — and how fast is your class shrinking?

Chapter 4: It's Not About Job Loss, It's About Skill Diffusion
Reframing the conversation. The real question isn't "will AI take my job?" It's "am I getting access fast enough?"

Chapter 5: The Death of the One-Job Ladder
The old model is gone. Portfolio career is the replacement. Why the ladder wasn't safe even before AI.

Chapter 6: The Portfolio Career Operating System
Defining the replacement model. What a high-leverage, multi-stream career actually looks like in practice.

Chapter 7: The AI Skills Ladder (Rung 0 to 5)
A concrete, climbable progression from AI-unaware to AI-native. Where you are, where you need to be, and the fastest path between.

Chapter 8: The Node Economy: Why Connectors Win
In a networked economy, connectors accumulate disproportionate power. How to become one.

Chapter 9: Diagnose Your Gap
Personal diagnostic: role exposure to AI displacement, current AI skills level, income fragility index. Know your number.

Chapter 10: Rebuild Your Week: Microshifting
How to free 5-10 hours a week for skills and income streams without burning out or quitting your job.

Chapter 11: Your First AI-Augmented Income Stream
How to build a concrete first stream alongside your day job. The four archetypes. The first 90 days.

Chapter 12: From One Stream to Four: Portfolio Archetypes
The full progression: how a 3-4 stream portfolio is built, sequenced, and sustained over 18-36 months.

Chapter 13: Negotiating in the AI Economy
AI skills change your bargaining power — if you know how to use them. Concrete negotiation strategies for a world where your leverage is compounding.

Chapter 14: The Rules Are Changing: Policy, AI Risk, and Your Portfolio
What regulation, AI risk frameworks, and policy shifts mean for your career portfolio — and how to position ahead of them.

Chapter 15: Four Futures, One Portfolio
Four credible 2030 futures for the AI economy. Why the portfolio approach is robust across all of them.

Chapter 16: Arbitrage the AI World: Geography, Remote Work
Global arbitrage of talent, wages, and regulation. How to use geography as a strategic lever.

Chapter 17: The Closing Signal
What comes after you've closed your gap. The next threshold.

Three questions for you:

  1. Does this resonate with where you are right now?

  2. What feels missing — a chapter you'd want to read that isn't here?

  3. Which chapter title grabs you most?

Hit reply. I read every response, and the feedback I've gotten from Edition #1 and #2 has already changed how I'm framing Chapter 3. Your reaction matters.

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

2. The Portfolio Stack Spotlight

Featured this week: Cursor — AI-Powered Code Editor

If you're doing this week's course prep and setting up Claude Code, you need a proper environment to work in. Cursor is the AI-native code editor that the developer world has moved to — but here's the thing: you don't need to be a developer to use it.

Cursor is a fork of VS Code (the most widely used code editor in the world) with AI built directly into the interface. You can open any folder, have Cursor read all your files, and ask it questions about them in plain English. It pairs exceptionally well with Claude Code. While Claude Code runs in your terminal and handles the heavy execution, Cursor gives you a visual layer to navigate your files, review changes, and understand what's happening.

For executives setting up their first AI tooling environment, it's the missing piece between "I opened a terminal" and "I understand what I'm building."

The Portfolio Stack marketplace — powered by Secret — has deals on Cursor and dozens of other AI and productivity tools. These aren't the tools I wish I'd known about. They're the tools I actually use.

Some links in The Portfolio Stack Spotlight are referral links. I only feature tools I use or have evaluated directly.

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
Organizations with AI in their operations are actively adding board members who understand it. If you have HR transformation, data governance, or AI policy experience, this category is moving fast right now.

Audit & Risk Committee — FinTech/Scale-Up
Growth-stage companies need NED-level oversight on their audit and risk committees. If you've been a CFO, CLO, CHRO, or COO in a fast-moving environment, this is where your experience translates directly to board equity.

Advisory Board — AI-Native Startup
These are smaller, earlier-stage engagements — but they compound in ways traditional NED roles don't always. Equity, network, pattern recognition across industries. Worth considering as part of a portfolio board strategy.

4. 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.

5. The OS Corner

The Portfolio Executive OS cohort is the 8-week program I run through ForwardShare. It's not a course. It's an operating system — peer board, custom stack, AI tools, structured accountability, and a cohort of senior executives who are serious about building portfolios that compound.

What you get:

  • A peer board of six to eight Portfolio Executives at your level

  • A custom AI tool stack for your specific situation

  • Weekly working sessions that operate more like board meetings than lectures

  • A personal Portfolio OS you leave with and actually use

I run this with a scarcity that isn't manufactured: I limit cohort size because the peer board model only works when everyone in the room is worth being in the room. The last two cohorts filled from this newsletter and referrals. I didn't run a campaign for either.

If you're reading Edition #3 and you've been thinking about it since Edition #1 — this is the moment.

Hit reply with "OS" in the subject line if you want to talk through fit before applying. I'll respond personally.

6. The Closing Signal

The terminal is just a tool. But the willingness to open it when it scares you — that's the thing.

I've watched executives with more credentials, more connections, and more resources than I had at their age pass on learning Claude Code because it felt like a developer's domain. "That's not what I do." And I've watched less credentialed people — non-native English speakers, people who got laid off, people who started from nothing — build real tools, real income streams, and real leverage because they were willing to feel stupid for a few sessions.

The AI wage gap isn't primarily a skills problem. It's a permission problem. Most executives haven't given themselves permission to be a beginner again.

The course is for people who are ready to give themselves that permission.

Question for the week:

What have you decided isn't for you — without ever actually trying it?

— Yuri

The Leverage Brief is published weekly by Grand Kru Ventures.
Weekly intelligence for Portfolio Executives closing the AI Wage Gap.
© 2026 Grand Kru Ventures.

Some links in this newsletter are referral or affiliate links. I only feature tools, platforms, and programs I use or have evaluated directly. Board roles via VirtualNonExecs are featured editorially — I receive no compensation for listing them.

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