Condense meeting summaries with advanced AI models
When a meeting summary is generated in Fellow, pass it to Clerk to summarize text into executive bullet points.
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.
Fellow Explore Fellow →
TriggersFires when a new meeting is recorded in Fellow.
Fires when an AI-generated summary is ready in Fellow.
Fires when a meeting transcript is ready in Fellow.
Fires when a new action item is captured from a meeting in Fellow.
Uploads an audio or video file to Fellow for transcription.
Clerk Explore Clerk →
TriggersFires when Clerk generates a response to a prompt.
Fires when a request to Clerk errors or times out.
Fires when a fine-tuning job in Clerk finishes.
Sends a prompt to Clerk and returns the model's response.
Uses Clerk to summarize a block of text.
Uses Clerk to classify or extract structured data from text.
More Fellow + Clerk workflows
See all Fellow + Clerk integrations → · Browse the full workflow library →
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Common questions
Can Knit build “Condense meeting summaries with advanced AI models” between Fellow and Clerk?
Yes — describe it in the box above and Knit's Integrations Agent researches Fellow and Clerk'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.
How can custom AI models process meeting transcripts?
When a transcript becomes ready in Fellow, it can automatically pass to Clerk to extract specialized structured insights or key findings.
Can raw meeting audio be analyzed automatically?
Yes, when a fine-tune job or custom model run completes in Clerk, you can upload meeting media into Fellow for enhanced transcript generation.