feature-glossary

To create an evidence-linked glossary, you provide source materials like design and requirements documents, and the system extracts feature-related terms to synthesize concise definitions linked directly to their source evidence.

Standardizing feature terminology involves extracting scattered terms from source materials and synthesizing them into a single glossary that teaches plain-language terms first and formal concepts second.

Yes, you can update existing glossaries by running a transmutation process that ingests new UI, state, decision, and policy sources to detect duplicate terms, identify gaps, and summarize coverage.

Identifying unresolved terms and coverage gaps requires synthesizing extracted vocabulary from bounded feature scopes, which automatically detects duplicates and cross-scope terms while summarizing overall glossary coverage.

Yes, generating a glossary requires source evidence because the system links plain-language definitions and formal concepts directly to the provided design, requirements, and policy documents.

You should avoid automated glossary transmutation when you lack source evidence materials, as the process fundamentally relies on extracting and linking definitions to provided design and requirements documents.