Generate executive summaries from task commentary
When a new comment is added to a task in Tolq, send the text to VLM Run to summarize the discussion for quick decision-making.
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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.
Tolq Explore Tolq →
TriggersFires when a new task or card is created in Tolq.
Fires when a task in Tolq is marked complete.
Fires when a task's due date in Tolq is coming up.
Fires when a comment is added to a task in Tolq.
Creates a new task in Tolq.
Updates a task's status or assignee in Tolq.
Posts a comment on a task in Tolq.
Moves a task in Tolq to a different board or list.
VLM Run Explore VLM Run →
TriggersFires when VLM Run generates a response to a prompt.
Fires when a request to VLM Run errors or times out.
Fires when a fine-tuning job in VLM Run finishes.
Sends a prompt to VLM Run and returns the model's response.
Uses VLM Run to summarize a block of text.
Uses VLM Run to classify or extract structured data from text.
More Tolq + VLM Run workflows
Automatically analyze and tag new project tasks
When a new task is created in Tolq, send its details to VLM Run to automatically classify the project scope and extract key priorities.
See details
Log AI generation results into project tasks
Whenever a new completion finishes generating in VLM Run, automatically add the generated text as a comment on the corresponding task in Tolq.
See details
See all Tolq + VLM Run integrations → · Browse the full workflow library →
Common questions
Can Knit build “Generate executive summaries from task commentary” between Tolq and VLM Run?
Yes — describe it in the box above and Knit's Integrations Agent researches Tolq and VLM Run'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.
What's the most common AI Models + Project Management automation?
Having VLM Run summarize sprint or board status from Tolq for a stakeholder update, or draft a task description from a short prompt.
Can this suggest task priority or assignee automatically?
Yes — VLM Run can read existing workload and task data from Tolq to suggest a priority or assignee, which a human can accept or override.