I've built myself an AI agent that can create and update tasks in ClickUp based on a prompt. I've copy/pasted the AI Notetaker notes including transcript into the agent and told it to create/update tasks based on the notes, and it does a really good job.

It seems like a natural next step to build in this kind of agentic workflow where each next step can be created into tasks along with context from the call as the description.

Using semantic/vector-based search, it's also possible for the AI agent to determine if those action items are related to an existing task, and add a subtask or update that task instead of creating a new one.

For the interface, I'm imagining a "Suggest tasks" button on the AI Notetaker summary. When you click it, AI will process and figure out what tasks it wants to create and what tasks it wants to update. Then it could display a window showing which tasks it intends to create and what it intends to update. You could check a box next to each one or accept all. This gives the best of both worlds: quickly take action with AI, but have granular control to avoid messing up your workspace with junk tasks.