Save generated completions as cloud documents
Automatically export new text completions from Cohere AI as standalone documents uploaded directly into Dropbox.
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.
Cohere AI Explore Cohere AI →
TriggersFires when Cohere AI generates a response to a prompt.
Fires when a request to Cohere AI errors or times out.
Fires when a fine-tuning job in Cohere AI finishes.
Sends a prompt to Cohere AI and returns the model's response.
Uses Cohere AI to summarize a block of text.
Uses Cohere AI to classify or extract structured data from text.
Dropbox Explore Dropbox →
TriggersFires when a new file is uploaded to Dropbox.
Fires when a file in Dropbox is shared with someone new.
Fires when a folder's contents change in Dropbox.
Uploads a file to Dropbox.
Creates a new folder in Dropbox.
Shares a file from Dropbox with a link or user.
More Cohere AI + Dropbox workflows
See all Cohere AI + Dropbox integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Save generated completions as cloud documents” between Cohere AI and Dropbox?
Yes — describe it in the box above and Knit's Integrations Agent researches Cohere AI and Dropbox'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.
What's the most common AI Models + Files & Storage automation?
Having Cohere AI summarize or extract key fields from a document uploaded to Dropbox, then write that structured output somewhere else automatically.
Does this work on scanned documents/images, or only text files?
Cohere AI can process scanned documents and images as well as plain text files, depending on the model's own capabilities.