June 2027
Intermediate to advanced
275 pages
1h 30m
English
Overview
AI products break long-established PM playbooks because, unlike traditional products, AI systems produce probabilistic results. When your product gives different answers to the same question while users expect consistency, and when you can no longer QA test every possible outcome, you need a new approach. This comprehensive guide gives PMs the tools, frameworks, and strategies to ship AI products that actually work.
Most AI resources today are either deeply technical or focus on high-level business strategy. Drawing on proven techniques for deploying AI agents and workflows in production, product leader Aman Khan bridges that gap with hands-on guidance specifically crafted for product managers who need to ship AI-powered products. From rapid prototyping with Cursor to building sophisticated evaluation stacks, you'll learn to navigate the entire AI product lifecycle and deploy best practices for AI systems within your product teams.
- Level up your PM workflows with AI-native product management best practices
- Understand how AI products differ from traditional software products
- Design and implement evaluation frameworks for any AI product to help with development
- Develop and apply AI product strategies that balance innovation with reliability
- Lead cross-functional teams building AI products and collaborate effectively with AI engineers
- Manage cross-team, executive, and customer stakeholder expectations for probabilistic systems
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