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ZWISERFIT/README.md

ZWISERFIT

物理域后训练先行者 / Physical Domain Post-Training Pioneer


定位 / Positioning

ZWISERFIT 是物理域后训练先行者,专注于将 AI 从数字世界带入真实门店经营。

ZWISERFIT is a physical domain post-training pioneer, bringing AI from the digital world into real store operations.

叙事线 / Narrative

LLM → LAO → Runtime → 物理域 → Web 5.0 生态
  • LLM:大语言模型基础能力 / Large Language Model foundations
  • LAO(Lineage Anchored Ontology):lineage 锚定的本体论,后训练核心框架
  • Runtime:Saros(门店经营)+ Melody(会员运营)双分身 / Dual runtime avatars
  • 物理域:真实门店数据采集与经验沉淀 / Real store data collection
  • Web 5.0:人机共生的经营生态 / Human-AI symbiotic ecosystem

创始人 / Founder

20年跨界经验:金融 × 技术 × 实体

  • 传统金融背景
  • 技术驱动思维
  • 实体经营实践(健身行业 7 年)

三季实验 / Three-Season Experiment

"一个人,一家店,七年亏损。AI Native 接管后,能否扭亏为盈?" "One person, one store, seven years of losses. Can AI Native turn it around?"

季 / Season 内容 / Content 时间 / Timeline
第1季 / S1 AI 军团培训(从不靠谱到靠谱)/ AI Legion Training 2026年3月-9月 / Mar-Sep 2026
第2季 / S2 AI 军团接管运营 / AI Legion Takes Over 小程序上线后 / After mini-program launch
第3季 / S3 能否扭亏为盈?/ Can it turn profitable? 未来6-12月 / Next 6-12 months

核心仓库 / Core Repositories

仓库 / Repo 说明 / Description
lao LAO 核心框架 / LAO Core Framework
Saros 门店经营 runtime 分身 / Store Operations Runtime
Melody 会员运营 runtime 分身 / Member Operations Runtime
KinTwin 微信小程序 / WeChat Mini-Program (private)
website 官网 / Official Website

技术栈 / Tech Stack

  • LAO v3.6.0-r4:后训练框架 / Post-Training Framework
  • RAL v0:Runtime Anchored Layer
  • P1-A:集成就绪 / Integration Ready
  • RIS:监控免疫 / Monitoring Immunity

ZWISERFIT · 东莞 · 广东 · 中国 物理域后训练先行者 / Physical Domain Post-Training Pioneer

Popular repositories Loading

  1. zwiserfit-ai-store-manager zwiserfit-ai-store-manager Public

    Momo — our first attempt at a digital store manager, and the start of this journey. Now carried forward as Saros (in preparation).

    Python 4 3

  2. ZWISERFIT ZWISERFIT Public

    Profile repo: our stage statement. Start at LAO, our first open-source product. Site: zwiserfit.cn

    Python 1 1

  3. PoPB PoPB Public archive

    Proof of Physical Behavior — our spec for anchoring real-world behavior data. Spec stage; the ground floor is LAO.

    Python 1

  4. .github .github Public

    ZWISERFIT Organization — community health files, contribution guides, and PDL license

  5. investor investor Public archive

    Archived investor materials from earlier stages. Current investor brief: https://zwiserfit.cn/for-investors/

  6. data data Public archive

    De-identified behavior data from a real gym that has run for 7 years. Published for research.