How I Used My Gmail Inbox to Uncover AI Agent Trends with Python
Last Updated on September 4, 2025 by Editorial Team
Author(s): Saleh Alkhalifa
Originally published on Towards AI.
A step-by-step journey from Gmail exports to uncovering the rise of AI Agents
AI Agents and “agentic AI” have exploded in popularity in recent years, with milestones like AutoGPT, LangChain, and Anthropic’s MCP shaping the narrative. But instead of relying solely on blogs and news coverage, I decided to analyze a dataset I already had: my Gmail inbox. In particular, the TLDR newsletter, which I’ve been subscribed to for years, turned out to be a goldmine of AI-related coverage.
The article details how to utilize Gmail exports to investigate trends in AI Agents through a structured approach involving the use of Python to parse emails, filter relevant content, and visualize key discoveries over time. It explains the process from exporting Gmail data to identifying pertinent AI-related topics and creating visual representations of the findings, underscoring the value of personal data in capturing industry developments.
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