The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager by Marily Nika, Diego Granados

The authors attack a dangerous industry myth: that you need a PhD in machine learning or deep coding expertise to build successful AI products. Instead, they shift the focus entirely to strategic orchestration. Nika and Granados establish that traditional Product Management (PM) frameworks break when applied to AI. Because AI features are inherently probabilistic (based on likelihoods) rather than deterministic (if-this-then-that logic), the PM's role evolves from writing static software requirements to designing dynamic data loops, managing user trust, and mitigating algorithmic risks.

The Authors' Golden Rules for AI Product Management

• Never Lead with the Technology: Do not build an AI feature simply because your executive team wants "AI" on the pitch deck. Always start with a validated user pain point. If a standard SQL query or a basic rule-based script can solve the problem faster and more reliably than an LLM, skip the AI entirely.

• Establish Your "Truth" Baseline Early: Before your engineering team spends a single dollar training a model, define what success looks like. Work with stakeholders to establish explicit thresholds for acceptable error rates, system latency, and token budgets to prevent costly scope creep.

• Design for the Model's Worst Day: AI models will confidently hallucinate, fail to parse inputs, and return inaccurate predictions. Your product's true quality is defined by how it handles those failures. Always build intuitive user feedback mechanisms (like simple thumbs-up/down buttons) and clear error boundaries directly into your interface.

Language: English.

Genre: AI Literacy.

Binding: সেলাই করা বাইন্ডিং

Quality: Premium Quality Books.

Printing: High Quality Printing.

Paper: Eye Friendly paper (Cream White)

Cover: Matt cover (Paperback).