Japanese-language skill for startup CTOs, PMs, and contract developers. Drop a one-line app idea — get five aligned definition docs in Japanese: 要求定義書 (Requirements), 要件定義書 (Functional Spec), 技術定義書 (Technical Design), 工程定義書 (Project Plan), 品質定義書 (Quality Plan). Each doc is internally consistent. Mermaid diagrams embedded automatically. Pre-tuned for Cloud Run / Next.js / Python stacks. Output is Markdown, ready to paste into Notion, GitHub, or Cursor. Cuts a week of spec work to under an hour.
Over 5,000 ADA accessibility lawsuits were filed in the US last year. 64% targeted businesses under $25M revenue. Most started with an automated scan — the same kind this agent runs on your site. Enter a URL. Get a risk report: which WCAG 2.2 AA failures a plaintiff's scanner would flag, ranked by lawsuit likelihood, with the exact fix for each. Covers contrast, alt text, labels, ARIA, focus order, and touch targets. Not a compliance certificate. A radar for what's coming.
Finds cultural mistakes, stereotypes, romaji and seasonal errors in Japan-themed English copy, with a fix for each. Works on social posts, blogs, product and marketing copy before you publish. Advisory, not a certification.
Personal JLPT tutor (N5–N1): generates an original daily Japanese practice quiz as interactive HTML, grades your pasted answers, tracks weak points over time, and promotes you level by level. Coaching language auto-matches yours (zh-TW / zh-CN / en / ja).
Paste your work history and the target job description. This agent produces a Japanese resume (職務経歴書), an ATS-optimized English resume, a bilingual cover-letter pair, an ATS Fit Score (0-100) showing how well you match, and the Top 10 missing keywords to add before submitting. Runs locally, no data sent. Like this tool? ExpertPanel gives you a scored review with specific improvement suggestions from 3 AI experts.
요구사항이 충분히 정리되지 않은 상태에서 개발에 넘기고 있나요? Requirement Ready AI는 비즈니스 목표, 기능 범위, 업무 규칙, Validation, Permission, UI, API, 예외 및 Edge Case를 검토하고 User Story, Acceptance Criteria, QA Test Cases, Risk까지 정리합니다. 개발 전에 요구사항이 정말 Ready 상태인지 확인할 수 있도록 돕습니다.
Turn factory data into a bottleneck, capacity, and layout-risk decision.
Use when your Japanese draft still reads AI-written. For bloggers, PR teams, marketers, and students: paste the text and get a human-sounding rewrite, plus a diff of every AI tell removed. It replaces vague AI phrasing — 浮き彫りになった, 多面的な, 〜ではないでしょうか, 今後の展開が期待される — with concrete facts and one clear voice. Facts are never invented or changed, only the wording. Output = the rewritten full text + a change log of what was fixed.