deepwork_jobs.define

To create a structured multi-step workflow specification, you describe your process goals and constraints, and the system interactively generates an implementation-ready job.yml skeleton with defined inputs, outputs, dependencies, and validation rules.

A job.yml file in workflow automation defines a complete, structured multi-step workflow, capturing goals, inputs, outputs, dependencies, and changelog to ensure consistent execution and validation across product, research, and automation domains.

You define inputs, outputs, and dependencies for a new workflow by answering structured intake questions about your process goals, which automatically translates your requirements into a validation-ready job.yml skeleton.

Yes, you can use automated questioning to generate a validation-ready job skeleton by providing your workflow requirements through an interactive intake process that ensures the output adheres to the required schema.

Yes, the generated job.yml includes a changelog and optional doc spec references to ensure clear field definitions and consistency across teams during future workflow refinements.

The best way to document multi-step workflows for automation teams is using an interactive intake process that captures success criteria and constraints, outputting a complete job.yml with rich descriptions and validation-ready field definitions.