Log AI generation results into project tasks

Whenever a new completion finishes generating in DeepSeek, automatically add the generated text as a comment on the corresponding task in CatchUp.

Try:

See all CatchUp + 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.

CatchUp Explore CatchUp →

Triggers

New task created

Fires when a new task or card is created in CatchUp.

Task completed

Fires when a task in CatchUp is marked complete.

Due date approaching

Fires when a task's due date in CatchUp is coming up.

Comment added

Fires when a comment is added to a task in CatchUp.

Actions

Create task

Creates a new task in CatchUp.

Update task

Updates a task's status or assignee in CatchUp.

Add comment

Posts a comment on a task in CatchUp.

Move task

Moves a task in CatchUp to a different board or list.

DeepSeek Explore DeepSeek →

Triggers

New completion generated

Fires when DeepSeek generates a response to a prompt.

Model run failed

Fires when a request to DeepSeek errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in DeepSeek finishes.

Actions

Generate a completion

Sends a prompt to DeepSeek and returns the model's response.

Summarize text

Uses DeepSeek to summarize a block of text.

Classify or extract data

Uses DeepSeek to classify or extract structured data from text.

Automatically analyze and tag new project tasks When a new task is created in CatchUp, send its details to DeepSeek to automatically classify the project scope and extract key priorities. See details

Generate executive summaries from task commentary When a new comment is added to a task in CatchUp, send the text to DeepSeek to summarize the discussion for quick decision-making. See details

See all CatchUp + DeepSeek integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Log AI generation results into project tasks” between CatchUp and DeepSeek?

Yes — describe it in the box above and Knit's Integrations Agent researches CatchUp 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.

What's the most common AI Models + Project Management automation?

Having DeepSeek summarize sprint or board status from CatchUp for a stakeholder update, or draft a task description from a short prompt.

Can this suggest task priority or assignee automatically?

Yes — DeepSeek can read existing workload and task data from CatchUp to suggest a priority or assignee, which a human can accept or override.