clarify

To convert vague requirements into concrete specifications, you input the ambiguous request and the system generates a structured spec draft by enforcing phase-based questioning to clarify scope, interfaces, data, and constraints.

The best way to clarify ambiguous user requests for product planning is through iterative questioning flows that extract minimal necessary information and present confirmable choices to remove ambiguity from the original context.

You document a before and after comparison by preserving the original request context and generating a clarified specification alongside it, clearly highlighting the differences between the initial input and the final executable spec.

Yes, you can save clarified project specifications directly to a requirements document by selecting the provided persistence option, which stores the finalized specs in the docs/requirements directory for traceable reuse.

Requirement elicitation works for both design discussions and technical scope definition by systematically handling interfaces, data structures, and project constraints to ensure teams can immediately execute the finalized specifications.

Automated specification generation requires iterative user input through phase-based questioning to resolve ambiguities, meaning it cannot produce a fully executable spec without interactive confirmation of scope and constraints.