spec

To write a product spec from a vague idea, apply the Linear Method and 4D Context Canvas to translate broad concepts into decision-ready specs. This approach prioritizes prototypes over documentation and pragmatic scoping down to 1-3 weeks.

Creating an AI feature spec requires explicit context requirements and clear evaluation criteria. Using a Level 3 spec template enforces context engineering practices, ensuring your AI feature specs include built-in evals and decision paths.

Scope down product documentation by generating a Level 2 Lite PRD that enforces Linear Method guidelines. This delivers concise, context-rich specs designed to align cross-functional teams quickly without excessive documentation.

Yes, you can generate quick tasks for Linear directly from a project brief. By creating a Level 1 Quick Task spec, you translate a brief description into fast, actionable tasking ready for immediate execution.

Context engineering works for short 1-3 week product cycles by enforcing pragmatic scoping down and prioritizing prototypes over documentation. This ensures specs remain concise, actionable, and decision-ready within tight timelines.

Use a Lite PRD for cross-functional alignment on standard tasks, whereas an AI feature spec is needed when your project involves explicit context requirements and evaluation criteria. The choice depends on the technical depth and AI integration required.