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