Process media uploads following fine-tune completions
When a fine-tune job completes in Exa AI, 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.
Exa AI Explore Exa AI →
TriggersFires when Exa AI generates a response to a prompt.
Fires when a request to Exa AI errors or times out.
Fires when a fine-tuning job in Exa AI finishes.
Sends a prompt to Exa AI and returns the model's response.
Uses Exa AI to summarize a block of text.
Uses Exa AI to classify or extract structured data from text.
More Avoma + Exa AI workflows
See all Avoma + Exa AI integrations → · Browse the full workflow library →
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Common questions
Can Knit build “Process media uploads following fine-tune completions” between Avoma and Exa AI?
Yes — describe it in the box above and Knit's Integrations Agent researches Avoma and Exa AI'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 Exa AI 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 Exa AI, you can upload meeting media into Avoma for enhanced transcript generation.