Extract structured insights from meeting transcripts
When a new transcript is ready in Trint, send the raw text to VLM Run 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.
Trint Explore Trint →
TriggersFires when a new meeting is recorded in Trint.
Fires when an AI-generated summary is ready in Trint.
Fires when a meeting transcript is ready in Trint.
Fires when a new action item is captured from a meeting in Trint.
Uploads an audio or video file to Trint for transcription.
VLM Run Explore VLM Run →
TriggersFires when VLM Run generates a response to a prompt.
Fires when a request to VLM Run errors or times out.
Fires when a fine-tuning job in VLM Run finishes.
Sends a prompt to VLM Run and returns the model's response.
Uses VLM Run to summarize a block of text.
Uses VLM Run to classify or extract structured data from text.
More Trint + VLM Run workflows
See all Trint + VLM Run integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Extract structured insights from meeting transcripts” between Trint and VLM Run?
Yes — describe it in the box above and Knit's Integrations Agent researches Trint and VLM Run'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 Trint, it can automatically pass to VLM Run 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 VLM Run, you can upload meeting media into Trint for enhanced transcript generation.