A spreadsheet looks like a grid of values. Ours is a grid of workers. When you define a column with a plain-English prompt, every cell in that column becomes its own autonomous agent — with its own context, its own tools, and its own job to finish.
That sounds like a small architectural detail. It isn't. It's the difference between automation you have to babysit and automation you can trust with ten thousand rows.
Why cell-level, not sheet-level
Most automation tools run one big script over your data. When row 4,812 has a malformed invoice, the whole run fails — or worse, it silently produces garbage. With cell-level agents, each cell succeeds or fails on its own. A bad row is one red cell, not a broken pipeline. You can inspect it, fix the prompt, and re-run just that cell.
Cell-level agents also parallelize naturally. A thousand rows means a thousand independent tasks, and they run concurrently. What used to be an overnight batch job finishes while you're still looking at the sheet.
What a cell can actually do
- Read documents. Point a column at a folder of PDFs and ask one question per column — invoice number, due date, total. Built for high-volume document work.
- Browse the web. Agents have access to the entire web, so a column can enrich each row with live data: company headcount, latest pricing, a competitor's changelog.
- Write and send. Draft a personalized email per lead, generate a summary per contract, produce a structured record per messy input.
- Chain together. A column can reference other columns, so agents feed agents — extraction in one column, verification in the next, output in a third.
The grid is the interface
We didn't build a new interface for AI work because the right one has existed for forty years. Everyone reads a grid. Everyone can audit a column. When the output of an agent lands in a cell, you can sort it, filter it, chart it, and export it — no dashboard, no DSL, no glue code.
Automation you can see is automation you can trust.
Start from a blank sheet or import a CSV. Define an AI column in plain English. Watch a thousand agents go to work. That's the whole product — and it's the way we think most repetitive knowledge work will get done.