Explore AI resources, insights, and upcoming events.
Learn how product teams design, test, and deploy AI features through practical guides, expert insights, and real-world experimentation strategies.

Why Your AI Evaluation Is Lying to You
Why most teams automate AI evaluation before understanding what they're evaluating — and the step-by-step approach that actually works.

The Death of the Prompt Box: What A16Z's 2026 Prediction Means for Your AI Features
What A16Z's 2026 Prediction Means for Your AI Features.

Lessons from one year of AI product building
Key insights from building AI products over the past year.
Ship AI Features With Confidence for PMs
Course on shipping AI features with confidence for product managers.

The expert test: how to identify high-value AI features for your product
How to identify which AI features will deliver the most value.

Why ship and learn just does not work for AI features
Why the traditional 'ship and learn' approach fails for AI features.
Reverse-Engineering AI Products: From System Prompts to Cost
Let's look at some of the most popular AI products and their estimated AI cost.
Myth Busters Edition - Prompting Techniques
Let's test out some popular beliefs about prompting AI.
The complete guide: from product idea to fully validated AI feature
A comprehensive guide covering the entire journey from initial product idea to a fully validated AI feature.
Demystify popular AI features with us - part 1
Breaking down how popular AI features work under the hood.
Personalised Activation Emails with AI
Live workshop on building AI-powered personalised activation emails.
Personalization demo for Airbnb AI product feature
A demo of AI experimentation for personalisation features.
Why AI Experimentation Beats 'Ship and Hope': The New Standard for Product Teams
Why systematic AI experimentation is the new standard for successful product teams.
How Product Managers Can Take the Driver's Seat in AI Integration
Empowering product managers to lead AI testing and integration.
Systematic AI Development: The Five Principles That Separate Hope from Data
Five core principles for systematic AI development methodology.
The Business Case for AI Experimentation: Why Testing Saves More Than It Costs
How AI experimentation saves money and reduces risk.
Building an AI Experimentation Culture: From 'Move Fast and Break Things' to 'Test Fast and Ship Smart'
How to build an experimentation culture for AI development.
Test an AI Feature with us - Implement Linear's AI Slack feature
Live walkthrough implementing Linear's AI Slack feature.
AI Experimentation Masterclass: Personalised Airbnb Description with AI
Your first AI experiment - a live walkthrough for PMs.
5 Mistakes Product Teams Make When Shipping AI Features
Product teams keep making the same five AI shipping mistakes. Here's what they are, what they cost, and how to fix each one before users find out.
3 Mistakes That Make Your AI Feature a Silent Churn Machine
Most AI features don't fail loudly. They quietly underperform while users quietly leave. Here are the three mistakes driving silent churn.
The 4 Most Expensive AI Evaluation Mistakes (and the Tender That Died)
Four AI evaluation mistakes that cost product teams real money — from blown model selection to a million-euro tender lost to silent failures.
3 Mistakes PMs Make When They Let Engineers Own the AI Prompt
Engineers build infrastructure. Domain experts build quality. Here are three costly mistakes that happen when PMs hand prompt ownership to engineering.
5 AI Testing Mistakes That Will Cost You Under the EU AI Act
The EU AI Act demands documentation, traceability, and risk management. Most product teams are still shipping AI on vibes. Here are five mistakes to fix now.
3 Model Selection Mistakes That Are Quietly Burning Your AI Budget
Most teams pick their AI model on reputation, not data. Here are three model selection mistakes silently inflating your costs — and how to fix them.
4 Mistakes That Turn a Mediocre AI Feature Into a User Trust Killer
Most AI features don't fail loudly. They quietly erode trust. Here are four mistakes product teams make that turn mediocre AI into a reason users leave.
The 3 Prompt Testing Mistakes Most Teams Don't Know They're Making
Most teams test prompts wrong without realizing it. Here are three specific mistakes that silently kill AI feature quality — and how to fix each one.
Ship AI features that actually work
The email course that takes you from first idea to validated AI — no data science team required.