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Per-cell AI agents in spreadsheets enhance precision

By treating each spreadsheet cell as an independent AI agent, systems can fetch specific data points on demand without predefined columns. This allows users to dynamically add columns (e.g., 'funding raised'), with each cell's AI agent sourcing the correct information—turning spreadsheets into intelligent, self-updating data tables that adapt to user needs.

HostY Combinator00:15:28

Supporting quotes

it's almost like every cell of the spreadsheet gets its own AI agent to get the data that we want which is pretty incredible it's like a spreadsheet on steroids Host
we took a prompt as an input um and we got the spreadsheet structured data as an output and in the background it went to these websites scraped it assembled this this spreadsheet and now we can do is add columns and have sort of the agent go out again not on a sort of like static uh you know set of columns that were predefined but our columns like things we want to know kind of putting the human back into the loop Rafael

From this concept

Trust & Transparency in AI Outputs

Inline source citations and footnotes validate AI-generated data, transforming passive references into active verification tools. Per-cell AI agents in spreadsheets dynamically fetch specific data points, while academic-style footnotes ensure accountability for real-time information.

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