Use cases

Three personas show where mogan-i18n fits versus generic translation services. Each includes working code, expected behavior, and tier/cost estimates.

Persona A — Commerce Platform Developer →

E-commerce site adding cross-border search. Replace per-locale keyword tables and ad-hoc translation calls with one canonical lookup.

Persona B — AI Agent Platform →

ChatGPT / Claude / Mistral agent calling cross-border commerce APIs. Function-calling pattern with deterministic canonical slugs.

Persona C — Translation Tooling →

CAT tool / TMS with commerce-specific translation memory needs. Pipeline integration with confidence scores and Jaccard validation.

Full use-cases source: /use-cases.md (verbatim from spec, 342 lines, Persona A + B + C + comparison matrix + honest limitations)