Extract structured insights from meeting transcripts

When a new transcript is ready in Otter.ai, send the raw text to Hatz AI 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.

Otter.ai Explore Otter.ai →

Triggers

New meeting recorded

Fires when a new meeting is recorded in Otter.ai.

New AI summary generated

Fires when an AI-generated summary is ready in Otter.ai.

New transcript ready

Fires when a meeting transcript is ready in Otter.ai.

New action item captured

Fires when a new action item is captured from a meeting in Otter.ai.

Actions

Upload audio or video

Uploads an audio or video file to Otter.ai for transcription.

Hatz AI Explore Hatz AI →

Triggers

New completion generated

Fires when Hatz AI generates a response to a prompt.

Model run failed

Fires when a request to Hatz AI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Hatz AI finishes.

Actions

Generate a completion

Sends a prompt to Hatz AI and returns the model's response.

Summarize text

Uses Hatz AI to summarize a block of text.

Classify or extract data

Uses Hatz AI to classify or extract structured data from text.

Condense meeting summaries with advanced AI models When a meeting summary is generated in Otter.ai, pass it to Hatz AI to summarize text into executive bullet points. See details

Process media uploads following fine-tune completions When a fine-tune job completes in Hatz AI, automatically upload relevant audio files into Otter.ai for processing. See details

See all Otter.ai + Hatz AI integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Extract structured insights from meeting transcripts” between Otter.ai and Hatz AI?

Yes — describe it in the box above and Knit's Integrations Agent researches Otter.ai and Hatz 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 Otter.ai, 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 Otter.ai for enhanced transcript generation.