Amplitude AI Analytics

How to Stop Shipping Blind with AI-Built Products

Amplitude

Optimizely

Gregor Spielmann

Co-founder, Adasight | ex-Amplitude, Optimizely

Follow a live demo to set up tracking and capture the signals that drive real product decisions.

Instrument your AI-built product in Amplitude

Set up shared company, product, and market context so every decision gets smarter, not just faster.

Build a knowledge base that compounds

Create a repeatable decision process with documented rationale that connects your analytics to weekly action.

Run a weekly learning rhythm

Every session is intensely hands-on and practical

Google, Arize AI, Spotify and Apple

Apple

Spotify

Cruise

UC Berkeley

Arize AI

Aman Khan

AI Product leader at Arize AI, Spotify, Cruise, Zipline, and Apple

Riverside, Patreon, Wix, and Appsflyer

Patreon

Riverside.FM

AppsFlyer

DuckDuckGo

Tal Raviv

Co-creator of Familiar. Early PM @ Patreon, Riverside, Wix, AppsFlyer

Cohort 2

Cohort 3

You're using ChatGPT daily, but still feel like an outsider when engineers discuss context management, RAG pipelines, and agent memory. The gap is widening daily, and then Meta announces a new PM interview: "Product Sense with AI."Half of product sense is knowing your users. The other half? Deep intuition for the enabling technologies: what's easy, what's hard, and why.Most courses teach AI through slides and flowcharts. We take the opposite approach: you'll build your personal OS using Cursor and Claude Code, the same "exposed wires" tools engineers use.Why? Because using AI coding agents daily is like iterating on a suite of AI products with a user of one. The bottlenecks become visceral, the solutions intuitive.In this radically hands-on workshop, you'll move from chat UIs to engineering tools, build a Personal OS for daily work, and realize you've built a portfolio using every AI engineering primitive.Result: X-ray vision for any AI product. When others see magic, you see architecture. You're known for saying "let me show you" and demoing live.When Anthropic or OpenAI announce something new, you already intuited it was coming because you faced that exact problem last week.

Build your personal OS in Cursor & Claude Code—to learn AI technical foundations

Move from ChatGPT to Cursor/Claude Code for all tasks

Build a portfolio of Al products you use daily

Build confidence and gain a competitive edge amongst your peers

Develop X-ray vision for AI products

Prototype AI solutions during meetings

Lead AI transformation

C-suite executives and venture investors who need practitioner intuition to evaluate business models confidently.

Product builders who want to improve their technical intuition by building their personal AI systems.

Big Tech candidates preparing for AI product sense interviews, by building a portfolio of working AI systems they use daily.

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.

Go from PM to Leader executives trust — by earning approval for AI products that deliver measurable business outcomes via the Product Model.

 3x Head of Product, 2x CEO, 1x GM

The Home Depot

U.S. Army

Cadence

Unilever

Stanford University

Rocky - ProductLedCEO

3x Head of Product |
2x CEO |
1x GM |
Led $1.3 Bn Product dept at Home Depot


March 2026

June 2026

AI is not replacing Product Managers. It is replacing the ones who cannot think.AI Product Builder — build a product using AI tools &amp; ship fast — is no longer a differentiator.So what separates the PMs companies fight to keep from those quietly replaced?The measure of success is never how many AI products did we ship.It is did we move the needle.Before you become a Product Builder, you need to be a Product Explorer™ — the ability to connect every decision to a business outcome that your executive is accountable for.A Product Explorer™ is given problems to solve, not features to build. That distinction changes how execs see you.That discipline is called Product Strategy &amp; Discovery — &amp; most PMs skip it entirely, turbocharging the feature factory. Garbage in, garbage out, faster.The PM who survives develops 3 skills:<ul><li>Executive skills to set product strategy and earn approval</li><li>Inventor skills to run Product Discovery &amp; find solutions worth building</li><li>Operator skills to scope, frame ROI, &amp; deliver the business outcomes</li></ul>Over four Saturdays, you develop all three — through the Product Model, build your own AI opportunity, &amp; a business case judged by Rocky &amp; a Fortune 10 leader.Not someday. Now.

Master the Executive, Inventor & Operator skills that make C-suite fight for PMs

Executive skill: connect every product decision to a business outcome.

Executive skill: set AI Product Strategy tied to mission and outcomes.

Inventor skill: run Product Discovery to learn what is worth shipping

Operator skill: build a Business Case that earns executive approval.

All 3 skills: pitch and earn Executive Approval under real pressure.

All 3 skills: measure success by Outcomes — not features shipped.

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

Basic 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 discovery 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)

PMs stuck in Project Model — shipping what stakeholders ask, who are ready to switch to Product Model — solve problems that tie to outcomes.

Mid to senior PMs who do solid product work but struggle to connect it to what leadership actually cares about.

Product managers feeling pressure to deliver AI results but unsure how to make it count at a business level

Build a complete product with AI: From finding the right opportunity to an on-brand product to defending your decisions under real pressure.

Product, Design Leader | Business Design

Anthropic

Canva

DoorDash

Atlassian

Google

Jacalin Ding

Product Design Leader | 2x Business Founder | Coached 10,000+ Designers

Head of AI Products @MYOB | Author

MYOB

Karbon

Blackbird

Simon Hilton

AI Product Director | 4 x Author of The Product Leader Series 

Cohort 1

Most AI prototypes die in their first stakeholder meeting. Not because they look bad. Because nobody could answer: What's the evidence? What's the business impact? Why this solution?👉 You're a designer who builds great work but can't prove it drives business outcomes or stays on brand with your design system 👉 You're a PM who wants to validate and prototype fast without shipping generic AI output 👉 You're a founder who needs to move from idea to defensible product before the window closes95% of AI-powered products fail to create measurable business impact (MIT)This course teaches you to answer all three questions and build the prototype at the same time, so you can: ✔️ Find the right business opportunity ✔️ Build an on-brand prototype with AI ✔️ Sell it with a narrative that survives hard business questionsYou walk out with outcome driven, re-usable workflows to drive real value right away.Get to the outcome faster with less noise. No shiny object tooling. We focus on a few good tools to build scalable workflows. This is the course for you if you want: less noise, more quality outcomes, proven workflows to support your strategy.Build faster. Decide smarter. Ship with intent.

Build fast. Decide smart.
40% off code: KICKOFF

Find high-impact opportunities backed by evidence, not guesswork

Turn opportunities into product requirements tied to business value

Build on-brand prototypes that aligns Design System, not AI-generic

Sell your product decisions with a narrative that earns buy-in

Build scalable AI workflows with minimal tools and zero noise

Claude Pro Account

Not afraid to interact with Claude Code Interface

Available 4-6 hours/week during course

Designers (Product, Brand) Senior and Leads struggle to prove the work drives business outcomes or survives stakeholder scrutiny

Product managers Prototype and validate ideas fast without shipping generic AI output that can't survive a business case review

Founders and technical builders Need to move from idea to defensible product fast -grounded in evidence and connected to real business value