Workflow overview
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This article gives an overview of the workflow feature.
A workflow runs a series of steps by combining blocks such as AI agents and conditional branches.
With workflows, you can run tasks that chain together step-by-step processing, including complex tasks.
A workflow accepts the information it needs at run time as input. Inputs can be text, numbers, files, and more.
Using the same workflow, you can run it against different targets or under different conditions.
Run a workflow manually when you need it, or set up a trigger to run it automatically.
Supported triggers include manual execution, execution via the API, and GitHub events (when the integration is set up).
You can incorporate workflows flexibly into your daily operations.
You can also pause a workflow midway for human review.
By marking the blocks that need review as required, the workflow only proceeds after a person has checked the output.
This makes it possible to keep humans in the loop for the critical decisions, instead of automating everything end to end.
Outputs produced by a workflow, such as generated documents, can be saved as artifacts when needed.
Artifacts are useful when you want to preserve results that need to be reviewed or shared.
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