Geek Out Time: Building an Interactive Career Coach with Google Colab and Synthesizing Agents Using…

Geek Out Time: Building an Interactive Career Coach with Google Colab and Synthesizing Agents Using AutoGen GroupChat

In my previous blog( https://medium.com/the-constellar-digital-technology-blog/geek-out-time-building-an-interactive-career-coach-with-autogen-groupchat-37ddbcc38d2e ), we explored how to create an interactive career coach using AutoGen and multiple specialized agents. Today, I’m excited to take it a step further. This time, we’ll use Google Colab to build a more robust career coaching assistant that not only interacts with users but also synthesizes the responses of multiple agents into a cohesive and actionable plan — backed by a LLM-powered Synthesizing Agent .

Rather than simply concatenating the responses from agents, this setup uses an LLM-backed Synthesizing Agent that analyzes and combines the advice from different perspectives into a single, actionable plan. This approach ensures that the advice is not just a random aggregation, but a coherent, thoughtful response that provides real value to the user.

Let’s dive into the steps to set up this Google Colab-based interactive career coaching assistant using AutoGen GroupChat and LLM-powered synthesis !

This is an excerpt — the full article continues on Medium.