AI Product Management 101
How to manage AI products. Understanding capabilities, setting expectations, writing PRDs for AI features, and measuring success.
12·Free resources
0 of 12 resources completed
Log in to track progressLog in to mark resources complete and sync progress across devices.
- Article30 min
a16z - AI for product teams
Packaging AI features and setting customer expectations.
Open resource - Article20 min
Intercom - AI product principles
Trust, disclosure, and escalation patterns.
Open resource - Article25 min
Lenny's Newsletter - AI PM essays
Roadmaps and metrics for AI-native products.
Open resource - Article35 min
Marty Cagan - Empowered product teams
How discovery changes when models are non-deterministic.
Open resource - Article22 min
Atlassian - AI feature rollout playbook
Phased launches with internal dogfooding.
Open resource - Article18 min
GitHub - Copilot adoption metrics
Developer productivity signals PMs can mirror.
Open resource - Article28 min
Nielsen Norman - AI UX heuristics
Checklists for safe, understandable AI interfaces.
Open resource - Article16 min
ProductPlan - AI roadmap templates
Communicating uncertainty to exec stakeholders.
Open resource - Article20 min
Gainsight - Customer success with AI
Onboarding flows when outputs vary by user.
Open resource - Docs24 min
Amplitude - Behavioral analytics primer
Funnels and retention for AI-assisted workflows.
Open resource - Article30 min
Harvard - Generative AI for leaders
Executive framing for AI investment decisions.
Open resource