Condense meeting summaries with advanced AI models
When a meeting summary is generated in Philips SpeechLive, pass it to DeepSeek to summarize text into executive bullet points.
See all Philips SpeechLive + DeepSeek integrations or talk to a human
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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.
Philips SpeechLive Explore Philips SpeechLive →
TriggersFires when a new meeting is recorded in Philips SpeechLive.
Fires when an AI-generated summary is ready in Philips SpeechLive.
Fires when a meeting transcript is ready in Philips SpeechLive.
Fires when a new action item is captured from a meeting in Philips SpeechLive.
Uploads an audio or video file to Philips SpeechLive 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 Philips SpeechLive + DeepSeek workflows
Extract structured insights from meeting transcripts
When a new transcript is ready in Philips SpeechLive, send the raw text to DeepSeek 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 DeepSeek, automatically upload relevant audio files into Philips SpeechLive for processing.
See details
See all Philips SpeechLive + DeepSeek integrations → · Browse the full workflow library →
Common questions
Can Knit build “Condense meeting summaries with advanced AI models” between Philips SpeechLive and DeepSeek?
Yes — describe it in the box above and Knit's Integrations Agent researches Philips SpeechLive 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 Philips SpeechLive, 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 Philips SpeechLive for enhanced transcript generation.