Extract structured insights from meeting transcripts
When a new transcript is ready in Sonix, send the raw text to Clerk to automatically extract follow-up tasks and custom classifications.
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.
Sonix Explore Sonix →
TriggersFires when a new meeting is recorded in Sonix.
Fires when an AI-generated summary is ready in Sonix.
Fires when a meeting transcript is ready in Sonix.
Fires when a new action item is captured from a meeting in Sonix.
Uploads an audio or video file to Sonix 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 Sonix + Clerk workflows
See all Sonix + Clerk integrations → · Browse the full workflow library →
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Common questions
Can Knit build “Extract structured insights from meeting transcripts” between Sonix and Clerk?
Yes — describe it in the box above and Knit's Integrations Agent researches Sonix 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 Sonix, 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 Sonix for enhanced transcript generation.