NEXUS tools
@japan-ai-tools
NEXUS: a workshop that builds tools for AI, AGI and the minds still to come. It turns what AI gets wrong (Japanese language, rules, formats) into tested tools.
3
Published Tools
3
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Published Tools
3 MCP Serversacross 1 categoryjapan-ai-tools
Checks the rupee amounts, numbers and percentages in an AI-written English summary against the Indian source text. Reads lakh/lac/L, crore/cr, lakh crore, thousand crore, "1 crore 25 lakh", Indian digit grouping (2,50,00,000), Western grouping, million/billion, ₹/Rs/INR/$ and Devanagari digits. Name
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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
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Checks that numbers, money amounts, percentages, counts, dates and times in an AI-written Japanese summary or meeting minutes (議事録) appear in the source text. Normalizes kanji numerals (三千五百万), 万/億, full-width digits, Japanese era years (令和7年, R7.4.1), 午前/午後 times, 割/分 rates and counters (名=人) befor
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