Condense meeting summaries with advanced AI models
When a meeting summary is generated in Avoma, pass it to Openlayer to summarize text into executive bullet points.
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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.
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.
Openlayer Explore Openlayer →
TriggersFires when Openlayer generates a response to a prompt.
Fires when a request to Openlayer errors or times out.
Fires when a fine-tuning job in Openlayer finishes.
Sends a prompt to Openlayer and returns the model's response.
Uses Openlayer to summarize a block of text.
Uses Openlayer to classify or extract structured data from text.
More Avoma + Openlayer workflows
Extract structured insights from meeting transcripts
When a new transcript is ready in Avoma, send the raw text to Openlayer to automatically extract follow-up tasks and custom classifications.
See details
Process media uploads following fine-tune completions
When a fine-tune job completes in Openlayer, automatically upload relevant audio files into Avoma for processing.
See details
See all Avoma + Openlayer integrations → · Browse the full workflow library →
Common questions
Can Knit build “Condense meeting summaries with advanced AI models” between Avoma and Openlayer?
Yes — describe it in the box above and Knit's Integrations Agent researches Avoma and Openlayer'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 Openlayer 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 Openlayer, you can upload meeting media into Avoma for enhanced transcript generation.