This talk will focus on one of the best established patterns: building chat UIs that accept natural-language instructions. This includes:

Getting started with Microsoft.Extensions.AI and Aspire (without needing any paid service) Ingesting, indexing, citing, and visualizing your custom business data sources for retrieval-augmented generation (RAG) Teaching AI how to retrieve data from your APIs and invoke your app's actions on behalf of a user Consuming and building Model-Context Protocol (MCP) servers for easy interop across AI systems A peek into potential future tooling that simplifies the development process

This is a fast-paced deep dive into how to do it - it's coding demos all the way through! By the end you'll hopefully have a strong sense of which parts are relevant to your scenarios and how to wire them together into something genuinely useful for your users.