ESPL | ArticlesEssays at the intersection of behavior change, AI, Web3, and healthcare — engineering reasons to walk. ESPL (Exercise Supplement).https://espl.jp/enWhat makes ESPL advanced isn't that it's already AI — it's that the behavior-change execution structure that AI agents can plug into is already builthttps://espl.jp/en/articles/2026-05-14-structure-before-ai-agent/https://espl.jp/en/articles/2026-05-14-structure-before-ai-agent/ESPL is a SaaS for behavior-change operations. It is not, today, an AI agent that autonomously designs challenges, moves funds, or executes distributions — humans do the configuration. But that configuration is itself the execution structure a future AI agent can be delegated to. What's advanced isn't 'AI inside,' it's 'a place for AI to operate.'Thu, 14 May 2026 00:00:00 GMTaiAIAI agentshealthcare AISaaSbehavior changecommitmentJPYCloss aversionHiroshi TanimotoDesigned so not walking hurts — turning loss aversion into the reason to walkhttps://espl.jp/en/articles/2026-05-12-loss-aversion-design/https://espl.jp/en/articles/2026-05-12-loss-aversion-design/People feel the pain of losing more strongly than the joy of an equivalent gain. ESPL converts that cognitive shape into a 'you lose if you don't walk' mechanism, turning a walking habit that is hard to sustain into one that's easier to keep. The design philosophy, unpacked through behavioral economics.Tue, 12 May 2026 00:00:00 GMTbehavior-changebehavior changeloss aversionbehavioral economicsreasons to walkcommitmentHiroshi Tanimoto