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