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BKFC is a Python notebook designed to extract actionable insights from Google Chat using Google Colab, Google Chat API, and Vertex AI's Gemini models. The process involves fetching, processing, analyzing chat data with defined schemas, and reporting structured results, enabling rapid knowledge retrieval, action tracking, project awareness, and technical knowledge sharing. The notebook demonstrates practical AI applications by using agentic workflows to unlock latent information within team chats.

BKFC: An Agentic Workflow for Gathering Knowledge from Google Chat

The Motivation: From Chat Chaos to Actionable Insights

How BKFC Works: An Agentic Workflow in Action

Conclusion: Simple Agents, Tangible Value