Data AI agent use cases
Posts and repositories filed under data by keyword. The directory is collected once a day from public sources, with no model in the loop.
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Posts and repositories filed under data by keyword. The directory is collected once a day from public sources, with no model in the loop.
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I built a plain-text spreadsheet format and an app for working with it. It began with small tasks like tracking my dog's health records and organizing records for tax season. Full spreadsheet apps always felt excessive, while Markdown tables don't support formulas. Also, its compact and readable syntax lets AI read and edit a workbook directly, without spreadsheet-specific tools. You can try the in-app agent on the desktop version with ChatGPT sign-in. Ordinate is now open source and available t
Hi guys, I built a tool www.lovespreadsheets.com earlier this year and a huge problem we kept running into is processing messy, real-world, complex spreadsheets for AI agents. Even a "medium" sized spreadsheet converts to about 1m+ tokens if read fully, which immediately blows up the current context windows of most models. So I noticed most agents sample data from spreadsheets in chunks instead. So I (& Claude) built this library Sheetgraph, https://github.com/asharma327/shee