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