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

 Stop waiting on engineering. Build it yourself in 3 hours.  

Former Director of AI @ Microsoft, IBM

Microsoft

Coursera

UC Berkeley

NumFOCUS

Gabriela de Queiroz

Ex-Microsoft & IBM AI leader | AI Advisor for Startups

Cohort 1

Cohort 2

🚨 Last cohort was sold out. FEW SEATS LEFT!AI is changing who gets to build.PMs are shipping tools they used to request from engineering. Analysts are building dashboards they used to wait weeks for. Founders are testing ideas without hiring teams first.The gap between having an idea and shipping something real has collapsed — if you know how to direct AI correctly.In this workshop, you'll learn the workflow modern AI builders use to go from idea → working product fast.By the end of this workshop, you will have: ✅ A working AI-powered product built from your own idea ✅ My exclusive 6-Question Build Brief that you can reuse for every idea you have ✅ Your own CLAUDE.md and supporting files so Claude Code work the way you work ✅ The build-fix-adjust loop template that makes Claude Code productive instead of frustrating ✅ Custom Claude Code skills tailored for you ✅ Additional materials to support your journey after the workshop ➕ Live feedback on your idea, workflow, and product direction from an AI leader who has evaluated hundreds of AI products and startups. Cohorts are intentionally small so you can get direct support throughout the session.

Go from idea → working product in one afternoon, without writing a single line of code.

Turn any idea into a build-ready plan with the 6-Question Build Brief

Learn how to direct Claude Code like a builder

Learn the build-fix-adjust loop modern AI builders use

Learn where AI accelerates your work — and where human judgment matters

Leave with a working product built from your own idea

PMs, analysts, marketers, founders, consultants, researchers, and operators who want to move faster without waiting on engineering

Non-engineers who want to learn the workflow modern AI builders use to turn ideas into working prototypes

People who are tired of watching AI tutorials and want to actually build something real

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.

Build AI Agent Skills that Actually Work - 3 Hours Hands-on Workshop

Product Leader and Super IC at Google

Google

Disney+ Hotstar

Zynga

Anshumani Ruddra

Product Super IC at Google with 22+ years crafting experiences and blockbuster products

Cohort 03

Cohort 04

Most product builders use AI agents the same way they used search - typing queries and hoping for the best. That's leaving most of the value on the table.The teams pulling ahead aren't using better prompts. They're teaching their agents. Agent Skills are reusable, testable instruction sets that tell AI agents exactly how to handle specific workflows: your deployment process, your code review standards, your team's edge cases. Write one skill well, and every agent on your team benefits from it, every time, automatically.The problem: nobody is teaching product builders how to create them. Most documentation is written for a narrow technical audience, and the tooling is fragmented across Claude Code, Codex, and Gemini.In this hands-on workshop, you'll go from zero to a working skill installed in your own agent: one that reflects your real workflows, not generic templates. You'll also learn how to evaluate and improve skills systematically, so they get better over time instead of drifting.If you build or are hoping to build products with AI agents: this is the highest-leverage skill you can develop right now.

🤖 Learn to build procedural Agent Skills, transforming your professional mindset from solo prompter to manager of elite AI agents

Shift to an AI Management Mindset

Build Custom, Reusable Agent Skills

Leverage the Open-Source Ecosystem

Evaluate and Iterate for 10x Output

Product Managers: who use Claude Code or Codex daily but rely on ad-hoc prompts - and want repeatable, team-shareable AI workflows.

Entrepreneurs &amp; Founders: building AI-native products who need their agents to encode business logic, not just generate code on demand.

Tech Executives &amp; Product Leaders: who want their teams to stop reinventing prompts and start shipping a shared skills library.

Gain the skills to think strategically, lead confidently, and transform from task‑focused PM to an impactful, outcome‑driven product leader.

Director of AI 

Pepsi

Intel

Swarovski

Jukin Media

Dalibor Jovic

Developer‑turned‑AI director with 20 years and 200+ shipped software projects.

Leadership & Product Excellence Coach

Schlumberger

Odfjell

Tryg

TV 2

Hussam Ahmad

Product leader focused on strategy, execution, and human‑centric leadership

May 26

June 26

AI is no longer optional in product work.Stakeholders ask for AI features.Executives talk about “AI strategy.”Customers expect smarter products.And PMs are stuck in the middle, expected to lead AI decisions without clear guidance, shared language, or proven patterns.Many PMs are asking:<ul><li>Where does AI actually create value?</li><li>How do I avoid chasing AI hype or shipping gimmicks?</li><li>How do I design AI features users trust?</li><li>How do I turn vague AI ideas into real roadmaps?</li></ul>AI features will ship—with or without you having clarity.What PMs Must Know About AI exists to answer those questions, practically, clearly. It is not a technical AI course. It is a product leadership course for the AI era, focused on the decisions PMs are now responsible for:<ul><li>Identifying high‑impact AI opportunities</li><li>Designing AI user experiences that work in the real world</li><li>Making confident trade‑offs when AI is uncertain</li><li>Translating AI ideas into roadmaps, outcomes, and OKRs</li><li>Leading AI discussions without hype or fear</li></ul>You’ll use a simple model called ALPHA™ (explained later) to learn how to think and act like an AI‑ready product leaderThis course is built directly from the questions PMs asked in our most popular Lightning Lessons.

Stop guessing where AI belongs in your product.

Lead AI‑shaped Product Work End‑to‑End

Turn vague “AI strategy” into decisions your team can act on

Make Customer‑Driven (AI‑Savvy) Decisions

Become an AI‑Ready Product Leader

and feel some pressure to “have a plan” for AI—even if that plan is unclear right now.

You should already work on a digital product (B2B or B2C) 

You want an intro to AI/ML or hands‑on coding, don’t currently work on a product with real users
or looking for a purely technical AI course

Not a fit  if:

<ul><li>You’re a PM or Senior PM expected to contribute to AI decisions</li><li>You’re stepping into a Lead or Principal Product role</li></ul>

<ul><li>You're a project managers transitioning to product</li><li>You're a startup founder shaping your first product function</li></ul>

<ul><li>You feel pressure to “have an AI plan,” but want clarity—not buzzwords</li></ul>

The Agent-Powered Super IC

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.

Startup founders building new businesses, from MVP to scale.

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

Using data and metrics to measure performance, run experiments, and inform decisions.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Developing intuition for what makes a great product — evaluating ideas, understanding user needs, and making tradeoff decisions.

How to Stop Shipping Blind with AI-Built Products

What you'll learn

Why this topic matters

You'll learn from

Gregor Spielmann