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.
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 “Process media uploads following fine-tune completions” 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.