flow-spec

To generate a structured specification using multi-AI consensus, provide complete project context to initiate the NLSpec authoring flow, which synthesizes research from multiple AI perspectives into a production-ready document.

NLSpec authoring is a structured, reproducible process to capture research-driven specifications from multiple AI perspectives. You need it when your project requires clear scope, actors, constraints, edge cases, and testable behaviors across phases.

You validate scope and edge cases during specification generation by passing through mandatory validation gates and an adversarial review step, which are enforced within the eight-step execution flow to ensure concrete, testable behaviors.

NLSpec authoring requires no external dependencies or components to function. You only need to supply complete project context to initiate the flow and generate the structured specification with its mandatory validation gates.

The best way to structure acceptance criteria and project constraints is through the NLSpec format, which mandates dedicated sections for purpose, actors, behaviors, constraints, dependencies, and acceptance criteria across Discover-Define-Develop-Deliver phases.

After completing the NLSpec authoring flow, you implement the specification by integrating it with subsequent NLSpec validation and plan workflows, ensuring the structured document transitions smoothly into the development and delivery phases.