AI Product Management

Table of Contents Introduction: Why RAG Matters for AI Products The Problem: LLM Limitations What is RAG? Simple Explanation How RAG Works: A PM’s Perspective When to Use RAG in Your Products RAG vs Fine-Tuning: Decision Framework Building RAG Systems: Components Overview Cost and Performance Considerations Real-World RAG Product Examples Getting Started with RAG Products Introduction: Why RAG Matters for AI Products Your CEO just returned from a conference. “We need AI in our product,” she announces. “Everyone’s doing it. Our competitors have chatbots. What are we waiting for?” ...

📚 Table of Contents The AI Feature That Went Wrong (And Why It’s Not the Model’s Fault) What AI Actually Is (And What It Isn’t) LLMs Demystified: The PM’s Mental Model RAG, Fine-Tuning, and When to Use What The AI Feature Development Process Specifying AI Features: The New Requirements AI Costs: Understanding the Token Economy Testing and Quality for AI Features Common AI Product Mistakes Building Your AI Product Muscles Questions to Ask Your AI/Engineering Team The Bottom Line The AI Feature That Went Wrong (And Why It’s Not the Model’s Fault) In 2024, I watched a company spend $300,000 building an AI feature that failed spectacularly. ...

📚 Table of Contents The AI Product Revolution Is Here What Makes AI Products Different Understanding LLMs: A PM’s Practical Guide RAG Explained: Making LLMs Smarter The AI Product Development Lifecycle Metrics for AI Products: Beyond Traditional KPIs Working with ML Engineers: Communication That Works AI Ethics and Responsible AI for PMs Tools and Platforms for AI Product Development Getting Started in AI Product Management The AI Product Revolution Is Here In 2023, I watched a product team spend six months building an AI feature. They hired expensive ML engineers, trained custom models, and invested heavily in infrastructure. When they launched, users… didn’t care. The feature worked technically but solved a problem nobody had. ...