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