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Autonomous mode lets Qualia work independently on complex research tasks for extended periods. Instead of waiting for your approval at each step, the agent makes decisions on its own and reports progress via Slack.

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Setting up autonomous mode

Set Independence to Auto ∞ in the chat’s Research style popover. Connect Slack and enable Notify in Slack in the chat actions menu if you want progress updates there.

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Configure Slack

  1. Go to Settings > Integrations > Slack
  2. Click Connect to Slack and authorize Qualia
Once connected, enable Notify in Slack for the chat to receive progress updates.

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Research style settings

Research style is set in Settings > Agents > Work style, or per-session from the chat composer.

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Curiosity

How much the agent explores beyond your immediate request:

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Independence

How much the agent assumes versus asks:

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Parallelism

How much the agent splits work across additional agents:

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Autonomous Mode

Choose Auto ∞ under Independence. The agent runs without confirmation dialogs, and Curiosity and Parallelism are dimmed. To leave autonomous mode, choose Low, Medium, or High under Independence.
Autonomous Mode skips all confirmation dialogs. Use it for trusted background work where you’re comfortable with the agent making decisions without you.

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Working with autonomous agents

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Starting an autonomous run

  1. Select Independence → Auto ∞ (in Settings or per-session)
  2. Describe a research direction:
“Explore different architectures for this timeseries forecasting problem. Try at least 5 approaches and report the best.”
  1. The agent works independently, posting updates to Slack

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Monitoring progress

While an autonomous agent runs:
  • Slack: Receive progress updates, preliminary findings, and completion notices
  • Project view: See the task map, status, and knowledge
  • Agents sidebar: View agent hierarchy and status indicators

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Guiding from Slack

You can respond to Slack updates to steer the agent:
  • Propose new directions
  • Ask it to focus on specific approaches
  • Request more detail on promising results
The agent incorporates your feedback and adjusts its approach.

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When to use autonomous mode

Autonomous mode works well for:
  • Open-ended exploration: Find the causes of all anomalies in a dataset
  • Model sweeps: Try many configurations and automatically follow up on promising directions
  • Long-running experiments: Training runs that need to be monitored for hours and stopped if no longer useful