work-item-decompose

To break an intent into discrete work items, you provide the overarching intent within an AI planning workflow, and the system decomposes it into structured items with defined acceptance criteria and validated dependencies.

Work item decomposition assesses complexity and validates dependencies by evaluating each generated item against the intent, preventing execution bottlenecks and rework through structured dependency validation.

The best way to define acceptance criteria for executable work items is through structured intent decomposition, which automatically generates item-level details and applies autonomy bias to ensure measurable progress.

Generated work items are persisted as definitions under the .specs-fire/intents/{intent-id}/work-items directory, ensuring traceability and structured execution planning across the AI workflow.

Yes, you can use intent decomposition for structured execution in AI workflows without external dependencies, as the process operates independently to generate, assess, and persist work-item definitions.