[VAS] Week 3 Lecture: Let’s Build a Robust MVP 🏗️ (Wednesday)

​This week, we’ll take our AI idea further and turn it into a more robust Minimum Viable Product (MVP). That means improving how the AI works, adding smarter logic, and making sure it’s actually useful for real users.

​We’ll focus on:
🔗 Adding RAG (Retrieval-Augmented Generation) to bring in the right data
🤝 Using Multi-Agent Systems to handle complex tasks
📊 Running Evaluation to check if the AI is giving good results
✨ Improving our Prompts to make responses better
🔧 Optimizing Tools to make everything faster and smoother

​What you’ll learn this week:

• ​How to combine LLMs with retrieved data (RAG)

• ​How to build multi-agent workflows where different AI agents work together

• ​How to evaluate AI outputs to measure quality

• ​How to write and test better prompts

• ​How to improve your overall AI system with smart tool choices

​What we’ll build together:
✅ A stronger version of our AI products with better data, smarter logic, and improved outputs
✅ A process for evaluating and improving the product continuously