I hosted and presented a session A2A, MCP, and how independently built AI agents can work together at our Nashua Cloud .NET User Group. The main idea is simple: MCP connects an agent to its tools, while A2A connects agents to each other. A2A gives agents a standard way to discover one another, understand capabilities […]
Google Cloud
Building AI Agents with the Microsoft Agent Framework (#NashuaUG)
I recently presented “Building AI Agents with the Microsoft Agent Framework” at the Nashua Cloud .NET User Group, where we explored how AI systems are evolving from simple prompt-response interactions into fully agentic architectures. The session focused on building intelligent agents with memory, tools, orchestration, and multi-agent collaboration using the Microsoft Agent Framework, which brings […]
Connecting Multi-Cloud AI Agents with Semantic Kernel
At our recent Nashua Cloud .NET User Group meetup, I delivered a session titled “Connecting Multi-Cloud AI Agents with Semantic Kernel,” exploring how organizations can orchestrate intelligent agents across Microsoft, AWS, and Google ecosystems. As AI adoption accelerates, enterprises increasingly need interoperability, portability, and flexible agent orchestration—and this session focused on exactly how to achieve […]
Building .NET AI Applications with Google AI: Leveraging Vertex AI & Gemini
At the recent Nashua Cloud .NET User Group meetup, I had the pleasure of presenting on how developers can integrate Google’s AI technologies into their .NET applications. The presentation focused on two key tools in the Google AI ecosystem: Vertex AI and Gemini AI. Vertex AI is a unified platform that simplifies building, deploying, and […]