The future of research is here! Perspective to AI Agents

Diagram of the AI agent pipeline for search and insight creation

I've built tools to help myself and my colleagues advance our search and information retrieval capabilities. While the fundamental principles of searching, finding information, and creating insights remain the same, with 𝐀𝐈 capabilities and 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬, we are now supercharged—able to process massive amounts of information while minimizing the traps of irrelevant or invalid content.

Our AI agents, like the "𝘐𝘯𝘵𝘦𝘳𝘯𝘦𝘵 𝘚𝘦𝘢𝘳𝘤𝘩 𝘈𝘯𝘢𝘭𝘺𝘴𝘵," take search queries and extend their scope to hundreds of relevant search results, overcoming the limitations humans face (after all, when was the last time you checked the second page of Google search results?). Another agent, the "𝘐𝘯𝘴𝘪𝘨𝘩𝘵 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳," dives deep into the retrieved content, curating a cohesive report. This entire process is monitored by a higher-level AI agent, the "𝘚𝘶𝘱𝘦𝘳𝘷𝘪𝘴𝘰𝘳."

The final outcome is a curated report based on far more information than any individual could typically process, providing a broader and more comprehensive view on any given topic.

In the attached illustrations, you can see how the pipeline is set up, including a peek behind the scenes at the system where these agents are executing tasks.

Running these 𝘈𝘐 𝘮𝘰𝘥𝘦𝘭𝘴 𝘪𝘴𝘯'𝘵 𝘤𝘩𝘦𝘢𝘱, costing about €𝟎.𝟐𝟎 - €𝟎.𝟔𝟎 for a comprehensive search and insight creation. However, this is totally manageable when compared to the time it would take a human to accomplish the same task. I'm also happy to share insights on interesting topics with a broader community here on LinkedIn to maximize the benefit—and perhaps spark some new ideas for you.

Stay tuned for the next AI agent-assisted insight on the topic of "𝐀𝐈 𝐢𝐧 𝐁𝐢𝐨𝐥𝐨𝐠𝐲."

Behind the scenes of the AI agents executing search tasks Curated report output produced by the AI agent pipeline

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