Content by Luis Quintanilla (3)

Luis Quintanilla introduces Agent Optimizer for Azure AI Foundry Agent Service, a closed-loop workflow that evaluates hosted agents against pass/fail criteria, generates improved configurations (prompts, skills, model choices, and tool descriptions), and helps teams promote the best candidate to production using azd.

Luis Quintanilla walks through ConferencePulse, a Blazor Server app on .NET 10 that uses .NET’s composable AI stack—Microsoft.Extensions.AI, DataIngestion, VectorData, MCP, and Microsoft Agent Framework—to build RAG-based Q&A, AI-generated polls/insights, and a multi-agent session summary.

Luis Quintanilla introduces the Microsoft Agent Framework, guiding .NET developers in building, orchestrating, and deploying AI agents using familiar tools and robust abstractions.