Classify new rows with AI
When a new row is added in Grist (API key), send its text to V7 Go and write the returned category back to the row.
See all Grist (API key) + V7 Go integrations or talk to a human
Google for Startups AcceleratorHow Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Grist (API key) Explore Grist (API key) →
TriggersFires when a row is added to a sheet in Grist (API key).
Fires when a row or column changes in Grist (API key).
Fires when a new spreadsheet or worksheet is created in Grist (API key).
Adds a new row to a sheet in Grist (API key).
Updates the values in an existing row in Grist (API key).
Finds a row by a column value in Grist (API key).
V7 Go Explore V7 Go →
TriggersFires when V7 Go returns a completion, prediction or other result.
Fires when a request to V7 Go errors or times out.
Fires when a fine-tuning job in V7 Go finishes.
Sends a prompt to V7 Go and returns the model's response.
Sends text, an image or other data to V7 Go and returns the model's output.
Uses V7 Go to classify or extract structured data from text or images.
More Grist (API key) + V7 Go workflows
See all Grist (API key) + V7 Go integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Classify new rows with AI” between Grist (API key) and V7 Go?
Yes — describe it in the box above and Knit's Integrations Agent researches Grist (API key) and V7 Go's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
Can AI fill in a spreadsheet column?
Yes. When a row is added in Grist (API key), V7 Go can process its contents and the output can be written to another column of the same row.
What can the model do with each row?
Common uses are classifying feedback, summarizing long text, translating, extracting fields and drafting replies, all written back into Grist (API key).