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The chat at the centre of the dashboard is a full agent, not a chatbot. It browses the live web, runs your scrapers, reads spreadsheets, queries your connected databases, saves leads, and asks you questions when it is unsure.

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Runs

Every message that requires work becomes a run:
While a run is going you see its steps stream live. When it finishes you get a result summary plus any artifacts — CSV files, datasets, documents — which stay downloadable from the run. Over the API, runs are POST /api/agents/runs and GET /api/agents/runs/{id}.

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It asks questions

When your instruction is ambiguous, the agent pauses and asks instead of guessing. That is a feature: a lead search that guesses wrongly about your ICP spends real credits producing the wrong list. In the dashboard, answer in the chat. Headlessly:
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Poll the run

GET /api/agents/runs/{id} returns status: "paused" and the question in result_summary.
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Answer it

POST /api/agents/runs/{id}/reply with { "message": "…" } resumes the same run mid-thought — no new run, no lost context.
Replying to a run that has already finished starts a follow-up run in the same conversation, inheriting its context and playbook. So “find 25 more like those” keeps saving leads rather than starting from nothing. Pass "interrupt": true to stop a still-working run and immediately start a new one with your message.

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Cancelling

POST /api/agents/runs/{id}/cancel stops a run right away. Cancellation is authoritative, not advisory — the run is marked cancelled immediately, so a wedged executor cannot keep it “running” forever and occupying one of your parallel-run slots.

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What the agent can do

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Playbooks and sources

A run can be pointed at specific inputs and behaviours:

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Conversations, folders and brands

Runs hang off conversations, which are scoped to your workspace and narrowed to the brand you are working in. ?brand=all widens a listing to every brand in the workspace — useful for agencies — but never past the workspace. Organise conversations into folders from the sidebar.

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Parallel runs

Pro and Business also get the full-size model with configurable reasoning effort; lower tiers run on the lighter models.

Skills

Save an instruction set as a reusable, selectable playbook.