All Knowledge Bases
🎯intermediate
AI Product Strategy
Building AI products is different from building regular software. The uncertainty is higher, the feedback loops are weirder, and the failure modes are unique. This knowledge base covers how to evaluate AI opportunities, set realistic expectations with stakeholders, and build a strategy that isn't just "add AI to everything."
10 lessons~5 hours
1. Identifying Real AI Opportunities
The AI Feature Litmus Test
Free10 min
When NOT to Use AI (Seriously)
Free8 min
User Problems vs AI Solutions
12 min
2. Roadmapping AI Products
Writing AI Product Specs That Don't Suck
12 min
Setting Expectations with Stakeholders
10 min
The AI Product Roadmap (It's Different)
10 min
Build vs Buy vs API — The Real Tradeoffs
12 min
3. Measuring What Matters
AI Product Metrics That Actually Work
10 min
The Cost of AI Features (Spoiler: It Adds Up)
8 min
From Experiment to Production
10 min
Want full access? Unlock all lessons with a Pro subscription.
UNLOCK EVERYTHING →