Build Smarter AI Workflows with Gemini + AutoGen + Semantic Kernel

Author(s): MD Rafsun Sheikh

Originally published on Towards AI.

Build Smarter AI Workflows with Gemini + AutoGen + Semantic Kernel

AI isn’t just about answering questions anymore — it’s about building smart agents that can collaborate, specialize, and solve real-world tasks. In this tutorial, I’ll walk you through how I combined Google’s Gemini Flash with AutoGen and Semantic Kernel to create a multi-agent AI assistant capable of everything from analyzing text and summarizing reports to reviewing code and generating creative solutions.

In this article, the author provides a step-by-step tutorial on building a multi-agent AI assistant by integrating Google’s Gemini Flash, AutoGen, and Semantic Kernel. The tutorial explains the necessary environment setup, connection to the Gemini API, the creation of a wrapper class, defining AI functions, and specialized agents, culminating in a robust system capable of collaboration and task execution. The author shares practical examples, techniques for structuring prompts, and insights on deploying the assistant for real-world applications.

Read the full blog for free on Medium.

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Published via Towards AI