[AI in Practice] Claude Practical Series: Building Technical Writer Capabilities

Terminology inconsistencies arising during frontend development are not merely simple mistakes but stem from a structural issue where terminology management relies on human memory rather than rules. As service scale increases, maintaining consistency through cognitive ability alone becomes difficult.

An analysis of 25 services and 728 screens revealed a total of 11,961 terms, of which 3,473 were unique terms. At this scale, traditional manual review methods reach their limits.

To address this, a paradigm shift is required to view documentation not as simple text but as structurable data. This involves shifting term extraction from screen-based tasks to structure parsing tasks, and term correction to rule-based processing.

By leveraging Claude to build a Technical Writer Agent, we propose a new operational workflow that converts Figma documents into data structures and automates terminology standardization.