Michael Hirsch

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Most companies treat AI ethics like legal review—something to avoid lawsuits. That's why their frameworks sit unused while teams ship features that surprise users. Ethics isn't compliance. It's a product decision. Five principles for feature reviews: Transparency, Fairness, Accountability, Privacy, Safety. Each includes questions to ask and red flags to catch problems before they ship. No philosophy degree needed. No committees. Just consistent decision-making you can defend and improve.The goal isn't perfect ethics—it's building better products.

The 5 Principles for Ethical AI Decisions


Stop getting lost in AI meetings because of confusing jargon. This 2-page glossary gives you the essential AI terms that actually matter for product decisions, explained in plain English with practical examples. What you'll get:<ul><li>15 key terms from AI and GenAI to RAG and "vibe coding"</li><li>Simple definitions with real-world examples</li><li>Product-focused explanations (not academic theory)</li></ul> Perfect for product managers who need to speak AI fluently without becoming AI experts.

AI for Product Managers: The Essential Terms You Actually Need to Know


Stop missing critical insights in user interviews. This practical checklist covers pre-conversation preparation, in-the-moment techniques, and post-interview reflection to help you extract maximum value from every user conversation. Includes scenario-specific tips for team meetings and stakeholder conversations beyond just user research.

Active Listening for User Interviews: A Practical Checklist for Product Managers


Product leaders make many AI delegation decisions daily. Most are winging it based on gut feel and urgency. This two-page guide gives you four strategic questions that separate systematic leaders from reactive managers. The same framework I use that's saved countless hours while improving outcomes. What's inside:<ul><li>Four-question decision framework with examples</li><li>Quick shortcuts for common scenarios</li><li>Common pitfalls that trap experienced leaders</li></ul> Start thinking strategically about where human effort creates disproportionate value.

AI or Human? Four Questions to Stop Winging Delegation Decisions


Stop treating AI like a magic 8-ball. Most product managers use AI tools without understanding when they're reliable, when they're hallucinating, and when human judgment should override algorithmic suggestions. This checklist covers the essential competencies every PM needs: recognizing AI limitations, spotting bias, structuring effective prompts, and identifying when AI is being overly agreeable instead of intellectually honest. Your next strategic decision could be enhanced or undermined by how well you understand your AI tools.

Basic AI Literacy Checklist for Product Managers


Most product teams approach AI adoption chaotically—some people experimenting with ChatGPT, others avoiding it entirely, with no clear strategy for building team-wide capabilities. This framework gives you the 6 essential competencies every product team needs to move from random AI experiments to strategic AI advantage. Whether you're a product leader building AI-ready teams or a PM wanting to level up your own capabilities, this framework gives you the structured approach that separates successful AI adoption from expensive experiments.

From AI Chaos to AI Confidence: The Strategic Competencies Framework


Discover the six distinct roles every successful product leader must master. This visual framework breaks down the strategic, operational, and interpersonal competencies that separate great product leaders from the rest. Whether you're transitioning from PM to leadership or looking to strengthen your current leadership approach, this framework provides a clear roadmap for development and self-assessment.

The Six Personas of Product Leadership Framework


Stop managing AI chaos. Build systematic capabilities that drive measurable impact using frameworks previously tested with enterprise teams.

Product Leadership + AI Expert

Product Leadership + AI Strategy | Ex-Sony, Qualcomm, T-Mobile | UW Professor

Build an AI-confident Product Team

Senior Technical Product Manager, Core Tech

Senior Manager

Product Strategy Consultant

Director of Product

Senior Product Director

(In-between jobs) Senior Technical Product Manager 

Digital Media Product Consultant

CPTO

Google

Amazon

The Boeing Company

PayPal

Qualcomm

Your team is using AI—but it's chaos. Everyone's got different tools. Someone swears by ChatGPT, another uses Claude. No one can explain what's working. Your "AI strategy" is random experiments with no measurable impact.Other product leaders are building systematic capabilities, transforming teams, and getting executive recognition.This course moves you from AI chaos to AI confidence.In three weeks, you'll:<ul><li>Assess your team's AI readiness using a 6-competency framework</li><li>Design systematic upskilling plans that build real capability</li><li>Build AI product strategies with clear metrics and timelines</li><li>Lead governance decisions that balance innovation with responsibility</li></ul>What makes this different: You work on your actual challenges—not case studies. You use frameworks I've developed with enterprise product teams. You create implementation plans for your context, not generic best practices.Real outcomes from past students: Kate was promoted to Group Product Manager and now leads her company's AI development team. Dan launched his company's AI Studio despite having no coding experience.No technical background required. Just product leadership experience and commitment to execution.

While Your Peers Position Themselves as AI Leaders, Where Does That Leave You?


Diagnose exactly why your team's AI efforts aren't driving business impact

Turn random AI experimentation into systematic capability-building that scales

Make AI governance decisions that protect users without killing innovation

Walk away with implementation plans, not just notes—ready to execute immediately

Product Managers stuck taking notes while less experienced colleagues lead AI initiatives because they can articulate strategic value better

Senior PMs recently promoted to team leadership discovering that building AI-capable organizations requires completely different skill sets

Product Leaders managing AI experimentation theater: everyone uses different tools, no one can explain what works, leadership wants answers

How to "Be Strategic" When No One Will Teach You

Kate Mosley

AI Product Leader, Knak | 15+ years in healthcare and tech

Teaching PMs Strategic Thinking | Strategy Prof | Ex-Sony, Qualcomm, T-Mobile

Hear from a PM who made this transition and see the concrete differences between strategic and tactical work.

What "Be Strategic" Actually Means

Learn specific methods to practice and demonstrate strategic thinking through your day-to-day PM work

How to Develop It Yourself

Leave with actionable experiments you can apply immediately to demonstrate strategic capability in your role.

Start Practicing Monday

Build an AI Agent to Turn Feature Release to Instant Revenue

Jacob Bank

Founder/CEO Relay.app | Ex-Google

Helping Product Leaders Navigate AI Transformation | Ex-Sony, Qualcomm, T-Mobile

Understand the difference between automating for productivity versus automating for business growth.

When AI Agents Drive Revenue (Not Just Efficiency)

Learn the essential elements that turn feature releases into revenue-driving automation.

The Four Components of Revenue-Driving Automation

Watch a complete AI agent build that transforms feature releases into immediate sales advantage.

How to Turn a Manual Process into Automated Revenue

Learn When Not to Trust AI

AI Product Leadership Coach helping PMs build AI-confident teams; 20+ years exp.

Distinguish between situations where algorithms excel from situations where human judgment is essential.

The Theory vs. Data Decision Model

Identify scenarios where Product Leaders must override AI suggestions to make effective leadership decisions.

The Six Personas of Product Leadership Framework

Practice with case studies to identify red flags when human intuition should override data-driven suggestions.

Applied Skepticism in Practice

Create an AI Agent to Stop the Feature Request Madness

20+ years in Product Leadership. Adjunct Professor of Strategy. Product Coach.

Follow along with a step-by-step live demo to create a functional AI agent  you can implement immediately afterwards.

Build a working AI agent in 20 minutes

Discover how an AI agent can bridge the communication gap and educate sales teams to submit complete feature requests.

Transform Sales-Product communication

Learn to create standardized evaluation criteria that automatically identifies incomplete requests and reduces rework.

Define your feature request quality standards

AI Review Mining: Turn Customer Feedback into Strategy Gold

Use AI to analyze hundreds of reviews in minutes, revealing deeper patterns and connections human analysis would miss.

Extract Hidden Patterns at Scale

Transform scattered opinions into strategic direction by generating prioritized recommendations from review data.

Convert Raw Feedback into Actionable Strategy

Get ready-to-use templates to integrate AI review analysis into your workflows & track impact of customer-driven changes

Implement Insights in Your Product Process

Coaching Conversations Made Easier: AI for Product Leaders

20+ years in Product Leadership. Professor of Business Strategy. Product Coach.

Transform vague feedback into specific, observable behaviors and concrete next steps using AI.

Transforming talk into action

Practice challenging feedback scenarios with AI before having them live, improving outcomes.

Navigating tough conversations

Create structured career plans for your PMs using AI to identify gaps and track progress.

Creating clear growth plans

Build systematic coaching practices that fit your schedule, powered by AI templates.

Building coaching routines

Get ready-to-use AI prompts for common coaching scenarios, from feedback to promotions.

Learn directly from Michael Hirsch