Turn AI meeting summaries into queued social posts
When a new AI summary is generated in Maestra, automatically draft and queue a post in LinkedIn summarizing key takeaways.
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.
Maestra Explore Maestra →
TriggersFires when a new meeting is recorded in Maestra.
Fires when an AI-generated summary is ready in Maestra.
Fires when a meeting transcript is ready in Maestra.
Fires when a new action item is captured from a meeting in Maestra.
Uploads an audio or video file to Maestra for transcription.
LinkedIn Explore LinkedIn →
TriggersFires when a scheduled post goes live in LinkedIn.
Fires when a post fails to publish in LinkedIn.
Fires when your brand is mentioned or a post gets a comment in LinkedIn.
Creates a post in LinkedIn or adds it to the schedule.
Adds a post to the publishing queue in LinkedIn.
Posts a reply to a comment in LinkedIn.
More Maestra + LinkedIn workflows
See all Maestra + LinkedIn integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Turn AI meeting summaries into queued social posts” between Maestra and LinkedIn?
Yes — describe it in the box above and Knit's Integrations Agent researches Maestra and LinkedIn'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.
Is it possible to draft social posts from AI meeting summaries?
Yes, when a new summary is generated in Maestra, key insights can be automatically added to your social media draft queue in LinkedIn.
Why connect an AI meeting recorder (Maestra) to a social media platform (LinkedIn)?
It turns spoken discussions, interviews, and webinars into promotional content without needing manual transcription and re-typing.