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If you want to make an AI product work as intended, you need to know how to use data, feedback loops, memory, and guardrails

LLMs understand the world, but are they actually useful? This guide helps you understand how to build a reliable AI system—covering the exact frameworks PMs need to master Prompts, Agents, and Quality

Learn how RAG and embeddings make AI reliable and smart. RAG helps AI find truth, while embeddings help it understand meaning and user intent. Details inside.

Rapido turned India’s two-wheelers into a mobility revolution, 33 lakh daily rides, lean operations, and the playbook Uber and Ola overlooked.

AI product managers need to understand the fundamentals that power AI products. In this edition, we break down AI, ML, DL, LLM, and GenAI

Writing good prompts is important, but not enough to build successful AI products. LLMs perform much better when they have the right context. That is where Context Engineering comes in.

AI Product Management is the hottest job. But no one understands what it really means. This guide breaks down what AI PMs actually do, why the role matters, and how you can build those skills today.

ChatGPT doesn’t know facts. It predicts words. Here's why AI sounds confident, why it gets things wrong, and how to use it the right way.

Fast raised $120M to fix online checkout but crashed in a year. Learn how too much money and no product focus turned a big dream into a costly failure.

Agentic AI is the buzzword everyone's using but nobody can quite explain. Learn what makes AI agents truly autonomous—and how they can transform your workflows.

Apple’s iPad Pro “Crush” ad sparked backlash for destroying creative tools. Learn what went wrong and 3 brand trust lessons for product managers.

Here's how Netflix grew from DVD rentals to a global streaming giant using smart product decisions, local content, personalization, and strong tech.