Exec Coach to Google, PayPal, the NFL

Google

Amazon

PayPal

U.S. Army

Joshua Miller

Master Certified Exec Coach to Google, PayPal, Amazon | LinkedIn Top Voice

How to Build and Measure an AI OKR

Master Certified Coach to Google, PayPal, Amazon | Former Fortune 500 L&D Leader

Learn why adoption metrics can't show whether people are still reasoning well, and what to measure instead when leadersh

Measure decision quality under AI, not just usage

Build a one-page team scorecard scoring decision quality with AI, to report alongside your adoption numbers.

Build a decision-quality metric for your AI OKR

Get three questions that reveal whether a decision was reasoned or just accepted from AI, plus a card managers can use.

Use a three-question check to test real reasoning

Stop being the “number explainer.” Build the stories, systems, and credibility to lead with clarity and confidence in the age of AI.

Cohort 9

Data & AI Leader, 19yrs of scaling data

Wayfair

Scotiabank

Wunderflats

ZEAL Network SE

Pier Martin

Data & AI leader with 19+ years scaling global teams, Executive coach 

Cohort 8

Cohort 10

Do you lead a data or analytics team and you keep asking yourself:<ul><li>How do I get executives to act on my insights instead of nodding and moving on?</li><li>How do I influence Product, Marketing, and Finance when none of them report to me?</li><li>How do I build real credibility on AI without just demoing tools?</li><li>How do I get my team seen as a trusted partner, not a ticket shop?</li></ul>If those are your questions, you're in the right place. The work is strong. You are just not in the room yet when the decisions get made.Here you fix that by building your own AI Operating System. A working system that keeps supporting you long after the course ends. It remembers every stakeholder you map, drafts in your voice, pressure-tests your decisions before the room, and gets sharper every time you use it. One person, operating like a team.So you turn data into stories executives repeat. You turn AI pilots into business cases that win support. And the system keeps compounding, carrying more of your load as you take on more. You own it for life.

Get in the room with the decisions - taught by a VP who still runs a data team.

How to Make Executives Act on Your Insights

How to Lead AI Change Without the Fear

How to Run a Data Team That Scales

How to Decide What Matters Under Pressure

Folks who are early in their career, focused only on technical execution, or looking to break into data/analytics should not enroll.

This course is NOT FOR everyone

It is designed for data managers, analytics leads, and heads of data already managing teams and facing leadership challenges.

This is NOT a beginner-level technical course

The Overlooked Data Manager: you ship dashboards but get talked over in strategy rooms, and want to be trusted for impact, not output.

The Stretched Head of Data: you lead 5 to 15 people, firefight all week, and need a system that shows control and builds credibility.

The New Data Leader: just promoted from IC, strong technically but light on storytelling and presence, ready to lead in the AI era.

Orchestrate AI across knowledge work. No technical background required.

Ex-Microsoft Data & AI | 2,000+ trained

Microsoft

riftlab.ai

Sash Mohapatra

20 years at Microsoft, engineer to Director of Data & AI Sales, Capital Markets

Cohort 4

Cohort 5

Enrolling now:🎓 Cohort 4 (NA /EU) Sessions @ 12PM EDT: Aug 11-22🎓 Cohort 5 (NA /EU) Sessions @ 12PM EDT: Sep 15-26You're using AI. Your team is using AI. The next step is infrastructure: persistent context, repeatable workflows and connected tools. Skills that execute the same way every time. Agents that carry multi-step work while you keep the judgment. That's when capability compounds.You will build a Personal AI OS on your own machine, built in Claude Cowork and Claude Code, in plain English. No code. You're accountable for work your team now produces with AI. Building the system yourself is what tells you where the judgment has to stay.In 2 weeks you will:<ul><li>✅ Move from doing the work to designing the system that does it. Get fluent in The Orchestrator Method™</li><li>✅ Install your Personal AI OS with Claude. Layered Context, pre-packaged skills and agents</li><li>✅ Convert repeatable tasks into skills that execute with consistent results. Content writing, competitive research, automated briefs etc</li><li>✅ Build your delegation map. Sort your tasks by what AI can carry and what needs your judgment.</li><li>✅ Know what to trust AI with. Define the outcome, let the system execute, provide judgment where needed.</li></ul>

Build your Personal AI OS on Claude. Become a Certified AI Orchestrator™️

Operate by The Orchestrator Method™

Write context that carries across every session

Install a Personal AI OS that knows your work

Turn your repeatable work into reusable skills

Run your team of agents

Everything is built in plain English. If you can write a clear brief for a colleague, you can do this.

No coding background needed

Two 90-minute live sessions plus one to two hours on your own build. Office hours are optional.

4-5 hours a week for 2 weeks

The course builds in Claude Cowork and Claude Code. Both require one.

Claude subscription

Senior professionals who don't code. Directors, heads of function and specialists whose work runs on documents, analysis and decisions.

Leaders accountable for a team's output. Executives who need to judge AI work and set the standard for how their team uses it.

Founders and independent consultants. Operators running their own practice who need a system carrying the repeatable work.

Make more cohesive product and design decisions at AI speed with clearer logic, stronger value cases, and better judgment under pressure.

Product & Design Leader at Owtcome

Owtcome

Krasi Bozhinkova

Cohort - May 2026

Cohort - Oct 2026

AI has made building faster, but product success hasn't gotten easier.Teams are now making more product-shaping calls with less time, more pressure, and incomplete evidence. The challenge is no longer just whether a single decision is right, but whether many fast decisions still add up to a coherent product direction.This course teaches a repeatable Product Judgment System for that challenge: how to clarify the critical user need that should guide decisions, build the value case, define the trust conditions, find where growth breaks, and choose the right product move when conditions change.It is built for PMs, designers, and product leaders whose product thinking needs to hold up when AI creates more ideas, more prototypes, more pressure, and less time to wait for certainty.You’ll leave with practical decision tools to apply judgment where it matters most: choose which user need deserves focus, pressure-test weak value cases, decide what deserves momentum, protect trust, and know what must change when the market shifts.The goal is to help you keep product decisions coherent under pressure and prioritize the work that will drive adoption, retention, trust, and business outcomes.

Build a Product Judgment System for More Cohesive Product Decisions at AI Speed

Create clarity before weak logic becomes a shipped product

Build the value case when the evidence is still incomplete

Define the trust conditions that keep product decisions coherent

Fix what blocks growth and choose the right response

PMs, designers, and cross-functional leaders with 3-5 years of experience, working through ambiguity, trade-offs, and business outcomes.

Level of experience

Bring one live product, feature, or strategic decision to apply the course directly to your own context.


What to prepare

This course is designed for practitioners who want to make better product decisions in AI-shaped markets, not to teach a specific AI tool.

No technical AI background required

Mid-to-senior PMs who need to make harder product decisions fast and connect the value case to adoption, trust, and growth.

Designers expanding their influence who need sharper language to connect design decisions to product and business outcomes.

Product-minded engineers and cross-functional leads stepping into ownership who need to make hard product calls with incomplete evidence.

Built on a $1.3B P&L and a U.S. Army mission. For Practitioners whose CEO measures them on the metric.

$1.3B P&L@Home Depot · CEO · U.S. Army

The Home Depot

Cadence

Stanford University

TechCrunch

Rocky Sharma

$1.3 Bn P&L at Home Depot. Iron Man's helmet for U.S. Army. CEO at 3 companies


July 2026

Oct 2026

It is 3:30 PM Tuesday. Your CFO just asked how the AI feature you shipped last quarter will protect next quarter's budget. You have a demo.Millions call themselves AI Product Builders. Anyone can vibe-code a prototype in a weekend. What none of that ships is Product Judgment, the discipline that turns a demo into a product an executive will fund, defend, and sign for.This course teaches four skills and the Product Judgment that ties them together. Product-Market Fit is table stakes. Above it: Executive Metrics Fit and Mission Fit, the three altitudes every AI product must clear before funding.Rocky teaches the skills he practiced across a $1.3B P&amp;L at Home Depot, the U.S. Army bomb-disposal suit (Iron Man's helmet in real life), and the founding team of Amazon Business. Think like an Executive. Explore like an Inventor. Pitch like an Operator. Apply like a Product Builder. Then the Mission Steward, the role executives sign to keep.Four sessions. 15 live hours. A vetted AI business case Rocky reviews live, including three hours with a Fortune 10 AI leader.

Millions call themselves AI Product Builders. Few practice Product Judgment.

Build Product Judgment: the discipline all 3 audiences the course serves need.

Move from feature-factory practitioners to the metric driven path your VP funds.

Pitch an AI investment your CEO approves on the spot.

Set AI strategy tied to the metric your executive is on the hook for.

Run Product exploration that proves the solution before any code ships.

Frame ROI and risk in the language a CFO will actually fund.

You've shipped at least one product or feature — this course builds on that foundation, not from scratch.

3–7+ years of Product Management experience

You've used ChatGPT, Claude, or Gemini at work or personally — so we can skip the basics and go deeper.

Familiarity with at least one AI tool

Week 2 prototyping sessions run on Claude (claude.ai — Pro plan, USD 20/month). You will need the paid plan to build and test it

Access to Claude's paid plan (USD 20/month)

AI Product Builders. You use AI tools daily. Turn the title AI Product Builder into a practice: Product Judgment as a discipline.

Product Managers. Feature-brief PM work is cost-center-cuttable now. Earn Product Judgment: the discipline that keeps your seat.

Operators (CPO, VP Product, founder-CEO). One wrong call costs a quarter or millions. Install Product Judgment across your team.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

The AI-Native L&D Leader

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Used to tag LLs where we only want company signups

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Developing leadership skills — inspiring teams, building culture, navigating organizational complexity, and driving results through others.

Day-to-day people management — 1:1s, feedback, performance management, hiring, and team operations.

HR and people operations professionals handling hiring, compensation, employee experience, and organizational development.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Setting and cascading goals, OKRs, and performance frameworks to align teams and drive results.

How to Build and Measure an AI OKR

What you'll learn

Why this topic matters

You'll learn from

Joshua Miller