Convert meeting follow-ups into engineering tasks
When a key follow-up item is flagged during a meeting in Speak Ai, automatically create a new tracking issue in GitHub.
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.
Speak Ai Explore Speak Ai →
TriggersFires when a new meeting is recorded in Speak Ai.
Fires when an AI-generated summary is ready in Speak Ai.
Fires when a meeting transcript is ready in Speak Ai.
Fires when a new action item is captured from a meeting in Speak Ai.
Uploads an audio or video file to Speak Ai for transcription.
GitHub Explore GitHub →
TriggersFires when a new error or issue is captured in GitHub.
Fires when an issue's status changes in GitHub.
Fires when a new deployment is tracked in GitHub.
Creates or updates an issue in GitHub.
Assigns an issue in GitHub to a teammate.
Resolves or mutes an issue in GitHub.
More Speak Ai + GitHub workflows
See all Speak Ai + GitHub integrations → · Browse the full workflow library →
Enterprise-grade security
Common questions
Can Knit build “Convert meeting follow-ups into engineering tasks” between Speak Ai and GitHub?
Yes — describe it in the box above and Knit's Integrations Agent researches Speak Ai and GitHub'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 does Speak Ai convert meeting notes into engineering work in GitHub?
When Speak Ai captures summary points or assigned follow-ups during meetings, it automatically creates and routes tracked issues in GitHub.
Can status changes in GitHub attach recordings back into Speak Ai?
Yes, when developers update issue statuses in GitHub, associated demo or audio recordings can be uploaded into Speak Ai for full context.