Trint VLM Run

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.

Try:

See all Trint + VLM Run integrations or talk to a human

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How 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 →

Triggers
New meeting recorded

Fires when a new meeting is recorded in Trint.

New AI summary generated

Fires when an AI-generated summary is ready in Trint.

New transcript ready

Fires when a meeting transcript is ready in Trint.

New action item captured

Fires when a new action item is captured from a meeting in Trint.

Actions
Upload audio or video

Uploads an audio or video file to Trint for transcription.

VLM Run Explore VLM Run →

Triggers
New completion generated

Fires when VLM Run generates a response to a prompt.

Model run failed

Fires when a request to VLM Run errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in VLM Run finishes.

Actions
Generate a completion

Sends a prompt to VLM Run and returns the model's response.

Summarize text

Uses VLM Run to summarize a block of text.

Classify or extract data

Uses VLM Run to classify or extract structured data from text.

Condense meeting summaries with advanced AI models When a meeting summary is generated in Trint, pass it to VLM Run to summarize text into executive bullet points. See details
Process media uploads following fine-tune completions When a fine-tune job completes in VLM Run, automatically upload relevant audio files into Trint for processing. See details

See all Trint + VLM Run integrations →  ·  Browse the full workflow library →

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FAQ

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.

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