keigo

Frontend for KOTONA — reads the 本音 behind Japanese business Japanese. Next.js + BFF over the kotona-analyzer API.

Finds double honorifics (二重敬語: お読みになられる, おっしゃられる, ご覧になられる) and the honorific chains that the Japanese guideline 「敬語の指針」(文化審議会答申 2007, p.31-32) lists as inappropriate (伺っていただく, ご案内していただく) in AI-written Japanese business text, and returns fixes. Forms the guideline accepts (お召し上がりになる, お見えになる, お伺いする) a

🇯🇵 KOTONA backend — AI analysis of the 本音/建前 in business Japanese with politeness scores and reply strategies. Spring Boot + Gemini (schema-enforced JSON) + MySQL.

An AI which will translate your English to a Japanese Keigo Language. built with Claude Fable 5.

Detect the direction of deference in Japanese honorifics (keigo), with the source citation. Where surface rules score 0%, this reaches 97%. 0.28B, CPU, 26ms.

相手との関係と用件から敬語の段階と文面の型を決めて、メール・LINE・問い合わせフォーム・フリマの取引メッセージを書くエージェント用スキル（日本語）

Yuki (雪) — a production-grade, Japan-specialist AI companion: scope-guarded streaming chat, keigo register control (casual · desu-masu · keigo), durable per-user memory, typed roadmap/itinerary responses, and a bilingual EN/JA UI. React 19 · TanStack Start · Supabase RLS · edge AI. Built to impress Japanese recruiters at first scroll.

Agent Skills for natural Japanese writing, business communication, keigo, UI microcopy, and product localization—compatible with Codex, Claude Code, and skills.sh.

MCP server for Japanese web UX conventions. Generates and audits forms, typography, layout, trust signals, legal requirements, keigo, and seasonal design.

改善 (Kaizen) — A production-grade, bilingual AI workspace built for Japanese business. Features context-aware JP↔EN translation, Keigo intelligence, 7 Groq-powered AI tools, multi-tenant RBAC, PostgreSQL RLS, Reiwa dates, and JPY-aware UX—built with React, TypeScript, Supabase, and security-first architecture.