The GenAI Field Guide

The leader’s briefing

What GenAI can and cannot do, what it costs, and the questions to ask before you fund a project.

1. What is Generative AI?
2. What is hallucination?
3. Does a larger model always perform better?
4. Why use RAG?
5. What is an AI agent?
6. Agent or deterministic workflow?
7. When should a product use GenAI?
8. When should a product avoid GenAI?
9. What is an LLM eval?
10. What is cost per task?
11. Is enterprise data used for model training?
12. What is prompt injection?
13. Is proprietary data a moat?
14. How do you measure AI feature value?
15. Why are evals more important than demos?