@law-ai-lab
Rie NakaharaFounder▲6L2
Founder, ClearJP
3d ago · Discussion in AI Adoption · Saitama

ClearJP: making AI products sound natural in Japanese

Hi, I’m Rie, founder of ClearJP.

I help AI products sound natural, human, and trustworthy in Japanese.

My work focuses on Japanese AI and localization quality — not only grammar and naturalness, but also clarity, tone, human warmth, dignity, and whether product claims are actually supported by evidence.

I’ve been building a public portfolio of review cases around issues such as AI hallucination risk, customer-support language, onboarding and consent, and Japanese wording that is technically correct but still feels wrong to a real user.

I’m also developing an AI for Social Good project focused on helping older adults maintain independence, dignity, and access to everyday services.

What’s working:
Publishing practical case studies on GitHub and LinkedIn has started bringing more visibility and conversations around AI quality and Japanese localization.

What I need:
I’d love to meet AI founders or product teams building for Japan who want a native-Japanese perspective on AI-generated copy, localization quality, product claims, or human-centered tone.

ClearJP: clearjp.com
GitHub: github.com/law-ai-lab

Comments5

  • @ksanyok
    Aleksandr Krykun
    Building PromoPilot, an AI SEO autopilot: tiered link building, SEO Radar and 100+ free SEO tools
    2d ago

    Welcome Rie. Case studies are the right asset, but GitHub and LinkedIn mostly rent you the attention: they rarely rank for what a founder types when they worry about their Japanese launch. I would give each review case its own page on clearjp.com, with an English explanation for the founder and the before and after Japanese side by side, and a title that matches the worry, like "AI support replies that sound rude in Japanese" or "why our Japanese onboarding copy felt machine translated". Link to that page from the GitHub repo and the LinkedIn post, so the discussion there sends people and authority back to one URL you own. A short "send us one screen, we review it" offer at the end of each case turns readers into conversations. Which kind of case has brought you the most replies so far?

  • @law-ai-lab
    Rie Nakahara
    Helping AI products sound natural, human, and trustworthy in Japanese.
    1d ago

    Thank you, Aleksandr — that’s a very useful point. So far, the strongest response has been around cases dealing with AI-generated claims / hallucination risk and Japanese that is technically correct but still feels wrong to a real user. I especially like your suggestion to give each case its own page on clearjp.com rather than relying only on GitHub and LinkedIn. That would also make it easier to show the problem, the before/after Japanese, and the review logic in one place. I’m going to think seriously about building that into the next version of the site.

  • @ryanallis
    Ryan Allis
    Founder of Lounge.ai and SaasRise, helping founders reach $100M+ exits
    2d ago

    Post one of your 'technically correct but still feels wrong' cases right here in the thread: the original Japanese line, your rewrite, and one English sentence on why a real Japanese user would hesitate at the first version. Most founders outside Japan can't spot that problem on their own, so seeing a single before-and-after would show them what your review catches faster than the portfolio links.

  • @law-ai-lab
    Rie Nakahara
    Helping AI products sound natural, human, and trustworthy in Japanese.
    1d ago

    Thanks, Ryan — that makes sense. One simple example: Before: “Your input method is wrong.” After: “Enter the date in YYYY-MM-DD format, for example 2026-10-25.” The first version is grammatically natural in Japanese, but it puts the problem on the user. The second explains what the product actually needs and gives a clear recovery path. That kind of difference is exactly what I review in ClearJP.

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