Autonomous Workflows
An autonomous workflow is a multi-step process where an AI agent can keep working toward a goal without asking the user after every step.
Run the same workflow two ways
The agent has 7 steps to finish. Pick a mode, press Run, and watch which steps need your approval and which the agent handles on its own.
Two ways to run a multi-step task
Both are useful. The right choice depends on how clear the goal is and how risky the steps are.
Pick a workflow to see how it flows
Click an example to see the same shape every time: a goal, planned steps, safe automatic work, and an approval point before anything important.
Even autonomous workflows need checkpoints
The agent can run the safe steps alone, but a person should still approve high-impact actions. A checkpoint is a pause before something important.
- • Autonomous workflows let agents continue across multiple steps.
- • They work best when the goal and boundaries are clear.
- • Not every step should be fully automatic.
- • Safety checkpoints help reduce risk.
- • Human approval is still important for high-impact actions.
Autonomous workflows allow AI agents to complete repeated multi-step tasks with less manual guidance, while still using checkpoints for important or risky actions.