clavix-summarize

You can turn conversation notes into a product requirements document by extracting structured requirements from conversational data to generate mini-PRDs, quick-PRDs, and raw prompt files. This captures key features, constraints, and objectives discussed.

The best way to extract requirements from a product discovery call is using conversational analysis to identify core features, user stories, and technical constraints. It validates minimum viable requirements and annotates extracted elements with confidence indicators.

Yes, you can generate a quick-PRD from raw conversational text without writing code. The process focuses on requirement extraction and structured output generation, strictly adhering to mode boundaries by avoiding implementation code entirely.

To organize extracted product requirements after analyzing a conversation, the system automatically derives project names for organized output storage. This ensures clear documentation for development and prevents valuable insights from being lost.

Yes, this requirement extraction approach works for validating minimum viable requirements. It uses a defined assessment framework to ensure quality and annotates extracted elements with confidence indicators during the documentation process.