AI for Product Managers
For PMs shipping AI features who want to reason about them without writing code.
A concept-first path for product managers: the AI stack, the build decisions (RAG vs fine-tuning, big vs small model), the cost and quality levers, and the risk surface — paired with interactive calculators so you can pressure-test a plan in a meeting, not just nod along.
- Speak the AI stack credibly with your engineers
- Make the build calls: RAG vs fine-tuning, big vs small model
- Estimate inference cost and reason about the quality bar
- Understand the risk surface — injection, leaks, and the EU AI Act
AI for Product Managers
The PM’s map of the AI stack.
The Prompting Handbook
What actually makes model output reliable.
LLM vs SLM
Big model vs small model — when each one wins.
RAG vs Fine-Tuning
The build decision you’ll be in every week.
Design ChatGPT
What sits under a chat product, at a glance.
Design a RAG Pipeline
How grounding on your own docs actually works.
LLM Pricing Comparator
Compare model prices side by side.
The AI Cost Engineering Handbook
Where the inference bill actually comes from.
Context Budget & Cost Planner
Feel how context length drives cost and latency.
The Agent Evaluations Handbook
How to know whether the AI is actually good.
The Guardrails Engineering Handbook
Keep the model on-policy and safe.
The AI Security Handbook
The new attack surface: prompt injection, data leaks.
The EU AI Act Handbook
The regulation that will shape your roadmap.
Design an AI Agent System
When a feature grows up into an agent.