{"rewrite":{"id":"r_87c57f25766695406bdbbd8d","clusterId":"c_284ef9cef12117df14e4df94","slug":"langgenius-convenes-if-con-tokyo-2026-as-dify-users-describe-life-after-adoption","model":"deepseek-v4-1-flash","headline":"LangGenius Convenes IF Con Tokyo 2026 as Dify Users Describe Life After Adoption","summary":"LangGenius, developer of the Dify Agentic AI development platform, held IF Con Tokyo 2026 on September 10 at Tokyo Convention Hall. Speakers from Upgrade Inc., ITOCHU Techno-Solutions, Internet Initiative Japan, NTT Data, NTT Docomo, Kyoshin, the City of Kobe, Japan Electronics and Computer Corporation, Yanmar Holdings, and Ricoh covered deployment and operations. LangGenius's Zhang Luyu argued that per-person AI gains do not by themselves change company-level lead times.","whyItMatters":"The conference agenda has moved past tool selection to operational design, and the concrete numbers presented (roughly 60,000 Dify users at NTT Docomo, roughly 11,000 apps at Ricoh) show the platform question is now about governance and reconnecting workflows rather than adoption.","webCardHtml":"\u003cp\u003ePanels at IF Con Tokyo 2026 listed Dify installed at scale: NTT Docomo described a platform usable by about 60,000 people, with batch and real-time processing run side by side and permissions kept intact. Ricoh reported growth to about 11,000 apps, roughly 5,000 developer users, and about 1,000 workspaces over about two years, while IIJ counted about 400 editor-role users and more than 1,000 apps as of August 2026.\u003c/p\u003e\u003cp\u003eThe program\u0026#39;s common thread was what happens after the tools land. NTT Data\u0026#39;s session addressed splitting roles between Dify and existing systems rather than building everything in Dify alone.\u003c/p\u003e","blueskyPost":"Zhang Luyu's point at IF Con Tokyo 2026 is that IQ gains measured per seat mislead: LangGenius's own framing puts the bottleneck at company-level lead times, where Dify users like NTT Data and Ricoh now test redesign.","twitterPost":"LangGenius's Zhang Luyu at IF Con Tokyo 2026: per-person AI gains don't move company lead times. The bottleneck is the process, not the tool.","threadsPost":"IF Con Tokyo 2026 drew speakers from NTT Data, Ricoh, and the City of Kobe, but LangGenius's Zhang Luyu made the sharpest point: individual AI productivity gains don't change company-level lead times on their own. The case studies are about redesigning workflow, not adding seats.","newsletterBlurb":"LangGenius held IF Con Tokyo 2026 on September 10, with IIJ, NTT Data, NTT Docomo, Ricoh and others describing how they run Dify. The sessions kept returning to operations: which processes to reconnect, how to split work between AI and existing systems, and how to keep large deployments safe. Zhang Luyu argued that per-person productivity gains do not change company-level lead times on their own.","attributionJson":"[{\"source\":\"ASCII.jp\",\"url\":\"https://ascii.jp/elem/000/004/443/4443877/?rss\",\"title\":\"LangGenius, developer of Dify, holds AI conference \\\"IF Con Tokyo 2026\\\"; corporate AI moves from \\\"adoption\\\" to \\\"redesigning business processes\\\"\"}]","lintFlagsJson":null,"lintHits":0,"costUsd":0,"inputTokens":4665,"outputTokens":686,"status":"published","repairAttempts":0,"nextRepairAt":null,"factsAttemptedAt":1792406236,"createdAt":"2026-10-19T10:33:49.000Z","publishedAt":"2026-10-19T10:36:08.000Z","updatedAt":"2026-10-19T10:36:08.000Z"},"cluster":{"id":"c_284ef9cef12117df14e4df94","canonicalTitle":"「Dify」を開発するLangGenius、AIカンファレンス「IF Con Tokyo 2026」を開催。企業のAIは“導入”から“業務プロセスの再設計”へ","representativeArticleId":"a_6409be0575f73ef014c41561","sourceCount":1,"writtenSourceCount":1,"writeAttempts":0,"isSolo":true,"entitiesJson":"{\"anime_titles\":[],\"manga_titles\":[],\"work_titles\":[\"Dify\"],\"studios\":[\"LangGenius\"],\"people\":[],\"type\":\"event\",\"domain\":\"other\",\"is_roundup\":false}","contentType":"news","status":"published","firstSeenAt":"2026-10-19T08:00:00.000Z","lastSeenAt":"2026-10-19T08:00:00.000Z","updatedAt":"2026-10-19T10:36:07.000Z"},"attribution":[{"source":"ASCII.jp","url":"https://ascii.jp/elem/000/004/443/4443877/?rss","title":"「Dify」を開発するLangGenius、AIカンファレンス「IF Con Tokyo 2026」を開催。企業のAIは“導入”から“業務プロセスの再設計”へ"}],"entities":{"anime_titles":[],"manga_titles":[],"work_titles":["Dify"],"studios":["LangGenius"],"people":[],"type":"event","domain":"other","is_roundup":false},"keyFacts":null}