← AI Agents & RAG learning pathAI Agents & RAG · Module 10 of 10
Building and shipping AI products
Turn prototypes into reliable products.
📖 Key ideas
- Start with a narrow, valuable use case.
- Prototype fast with an API, then add RAG/tools as needed.
- Design UX for uncertainty: show sources, allow edits, feedback buttons.
- Control cost with caching, smaller models and limits.
- Iterate with user feedback and evals.
💡 Real-life example: Shipping an AI product is opening a small café first, perfecting the menu before opening a chain.
Use caseSpecific problem the product solves
Semantic cacheReuse answers to similar queries
Feedback loopUsers rate outputs to improve
Model routingChoosing models per request