Pranav Pathak

Spot the Right AI Opportunities

Flipkart

Goldman Sachs

Director of Product, AI @Booking.com

Understand the common traps that cause most AI experiments to stall before impact.

Why 95% of GenAI pilots fail

Learn a structured way to evaluate AI opportunities

Spotting opportunities using the PROVE-IT framework

Apply the framework to quickly separate high-leverage bets from hype-driven distractions.

How to pick winners early

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Amazon

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

Juggernauts

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.

Ask the right questions and spot the hidden landmines in AI data analysis -- without code or math.

CoS, data scientist, and UPenn prof.

DP 140th

GW University

William & Mary

Nicky Bell, PhD

Chief of Staff | 2x data team builder | 10 years teaching experience

Founding Cohort

<h2>Is This You? </h2><ul><li>You're a Chief of Staff or BizOps leader expected to analyze and report data that shapes executive decisions.</li><li>You can build a spreadsheet, but you have no formal data training and don't see yourself as a "data person."</li><li>AI didn't take your data work away, but suddenly the room rewards a fluency you were never trained for.</li><li>You looked at other courses and they all wanted to teach you to code.</li></ul>This course teaches the judgment that makes AI-generated analysis trustworthy. You'll see blind spots, ask sharper questions, and become the operator the C-suite trusts when AI is on the agenda.Own your analysis and command the room.*****🎓 What You'll Get<ul><li>1:1 coaching — 30 minutes to map your organization's data challenges and leave with an actionable blueprint.</li><li>Live audits of real AI-generated outputs — submit a report from your own data and watch 2–3 anonymized examples get evaluated and rebuilt, live.</li><li>More than 7 hours of video + classroom instruction.</li><li>Early access to Circuit — Apply your new judgment with one click, free to Founding Cohort members.</li></ul>

PhD-level judgment, without the PhD-level pain.

Spot the bias and hallucinations that AI can't catch itself.

Direct AI to produce analysis you can stand behind. 

Separate correlation from cause and suggest the right next move.

 Workshop your real AI-generated reports live with the cohort.

Compound your career as AI reshapes the org.

We'll take a first-principles approach to data analysis. You'll learn the mindset of a data person -- and the outputs will follow naturally.

Curiosity about the process of data analysis, not just outputs.

If you've used ChatGPT, Claude, or any LLM for simple tasks like summarizing notes, you're ready.

Basic familiarity with AI tools.

We'll provide datasets for examples, but you'll get more value applying these concepts to your own work.

Access to some data.

Chiefs of Staff, BizOps leaders, and generalists responsible for guiding data-driven decisions without a dedicated analyst counterpart.

Operators who want to leverage AI for data analysis, but don't know how to trust the results.

Anyone who has ever said, "I'm not a data person." Data isn’t about code or math. Data is about judgment, and judgment can be learned.

Develop confidence in your AI-fluency, to the extent that you can make million dollar decisions that inspire your team and your board.

Operator running a 14-agent AI business.

Microsoft

Meliora

Nine Entertainment

Singtel

Krish Raja

Ex-coder, product strategist and proven revenue leader in the technology sector.

Cohort 1

Every senior leader I have sat with in the last year has the same private tell. They want to be more AI-confident. They know their team is self learning in a language they don't have time to get across. They know the next panel question, the next board question, the next hire, the next all-hands is going to expose the gap. They have been buying time outsourcing the final decision.AI is not software. Software was built to be used by humans. Agentic AI is built to be used by other AI. That shift changes the shape of a business, the shape of an org chart, and the shape of executive work itself. Leaders who operate for the next ten years the way they operated for the last ten are at risk. Not because AI replaces them. Because the leaders next to them become three times more capable, and the race to the bottom on efficiency does the rest.The way out is not another literacy deck. It is reps. It is fingers on the tools. It is the practice of operating with AI daily, in public, in front of peers who will not let you bluff. AI learned to speak English. You have not learned to speak AI. This programme is four weeks of doing exactly that, anchored to something real you have to ship.

Four weeks to level up and close the gap on your AI potential.

Walk out with the decision made

Stop spending six figures on the wrong vendor

Walk the walk before you talk the talk

Become the senior operator with the clearest read on AI in your company

Build your private, portable memory web

Run Mind Set → Mind Map → Mind Make on every future AI call

Need to show strength in publicYou're being asked to present your AI strategy on stage, to a board or to inspire your team.

On the hookYou own the budget, and need to make a high value decision on AI in the next 90 days.

The glue in the businessYou're the one tasked with operationalizing AI inside your org and need more clarity on where to start.

Leave with the AI fluency, the leadership clarity, and the hands-on capability to lead your organization forward with confidence.

Product Leader—Time Warner, CNN, Sony

Sony Music

Warner Bros. Discovery

General Assembly

Haas School of Bus.

Chidi Afulezi

Product coach helping leaders build better products and strong product teams.

MasterClub One

We are out here doing the work. Building, leading, deciding. AI has become the accelerant for all of it, and the tools are moving so fast that most of us are still figuring out how to integrate what came out months ago, let alone what dropped this week. Forums like LinkedIn are so noisy and overstuffed with AI hype that it is hard to know what is signal and what is noise, and that is a genuinely difficult place to lead from.If your business fundamentals are solid, AI becomes the accelerant that scales your best thinking and compounds what your organization already does well. If they are shaky, AI will make you more efficient and faster at being bad. Knowing which one is true for you requires more than reading about AI or listening to people talk about it.Most of what is out there on AI is heard learning: podcasts, newsletters, LinkedIn threads. Some is intellectual learning: frameworks, books, research. Both have value. But the wisdom that actually changes how you lead is experiential, comes from doing the work yourself, in your own context, with people who push your thinking.That's what ProductDiOxide is built for. A MasterClub unlike anything else for leadership in the age of AI.

Because figuring out AI alone is taking too long. 

Evaluate where your business fundamentals stand and what AI will do to them

Map how AI multiplies good habits and compounds bad habits in your organization

Build a working AI prototype grounded in a real problem you are facing

Design an agentic workflow that operates on your behalf

Build an AI Skill that teaches Claude how you think and how you work

Develop your leadership POV on AI, built through doing, sharpened by the circle

Senior leaders, founders, and executives navigating real AI decisions for their teams and orgs, who want thinking grounded in applied work.

Board members and directors sharpening how they read AI inside the orgs they oversee, at the altitude their role requires.

Leadership coaches and advisors who want a sharper point of view and practical knowledge on AI to bring to their work and clients.

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

Product managers who drive strategy, development, and launch of products.

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

Spot the Right AI Opportunities

What you'll learn

Why this topic matters

You'll learn from

Pranav Pathak