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