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