Day91
§ Grid

Open beta · Every cell graded and linked

One question. Every company. All at once.

Companies down the side, questions across the top. Each cell is answered from a document, graded on how good that sourcing actually is, and linked so you can check it yourself in a minute. The cells it can't answer say so rather than guessing.

What this replaces. The same grid at Hebbia or AlphaSense costs from roughly $24,000 a seat a year and is sold to asset managers and investment banks. The work is the same work; the difference is that they have a corpus and a sales team, and this has eight companies read by hand and an honest label on everything it hasn't read. Use it for the eight. Use EDGAR for the rest — it will hand you the link.
0 cells 0 read 0 unread

Companies

Dashed = a dossier exists. Anything else routes to EDGAR.

Questions

Each becomes a column.

A custom column searches the metric names and findings already read out of each company’s filing. It does not go and read the filing for you — where the answer isn’t already there, the cell comes back empty with the EDGAR route that would fill it. That is the honest behaviour and it is why the empty cells are the interesting ones.

Method

The grade tells you what to check by hand

An AI grid that answers every cell with equal confidence is worse than no grid, because you cannot tell which answers to trust. Every cell here carries the same three-letter grade the brief uses.

That last one is the difference. A tool that fills the cell anyway is optimising for looking complete. The empty cell is the honest output, and it is why you can hand the rest of the grid to someone without a disclaimer attached.