AI Product Management (Early Release) by Aman Khan (.ePUB)+
File Size: 10 MB
AI Product Management: Build, Evaluate, and Ship Successful AI Products, from Prototype to Production (2026-02-23: Early Release) by Aman Khan
Requirements: .ePUB, .PDF reader, 10 MB
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. If you could build a working AI application prototype in under an hour, would you still wait three sprints for your engineering team to prototype your idea? This is the central question facing every Product Manager (PM) in the age of generative AI. The old workflow was defined by friction: a critical payment flow bug meant filing a P1 ticket, scheduling a grooming session, explaining the issue across JIRA, and waiting weeks for a fix to be scoped, prioritized, and deployed. The tools enabling this shift – coding agents like Cursor, Claude Code, OpenAI Codex and Factory – give PMs unprecedented power to validate ideas, debug issues, and speak the language of modern AI development.
Genre: Non-Fiction > Tech & Devices
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