24HSC is built by a focused team of coaches, data contributors, creative builders, and AI operations operators. We use games as fast feedback loops to train judgment, communication, ownership, and agency under pressure.
24HSC 由教练、数据贡献者、创意建设者和 AI operations operator 共同建设。 我们把游戏作为高反馈训练环境，用来训练压力下的判断、沟通、ownership 和行动力。
A simple view of why this team exists and how 24HSC turns gameplay into human development.
用最简单的方式说明这支团队为什么存在，以及 24HSC 如何把游戏训练转化成人的成长。
STA exists to break the chain that roots people in place. In 24HSC, that means helping students and teams develop stronger judgment, communication, ownership, and agency under pressure.
STA 的存在，是为了打破把人困在原地的锁链。在 24HSC 里，这意味着帮助学生和团队在压力下发展更强的判断、沟通、ownership 和行动力。
Games compress action, pressure, review, and adjustment into short cycles. Coaches, data contributors, and AI operations turn those cycles into structured feedback and practical next steps.
游戏把行动、压力、复盘和调整压缩进很短的循环。教练、数据贡献者和 AI operations layer 会把这些循环整理成结构化反馈和下一步训练。
We build 24HSC Bootcamp, AI-assisted game coaching reports, creative learning materials, and supporting systems that make improvement easier to see, discuss, and repeat.
我们建设 24HSC Bootcamp、AI 辅助游戏教练报告、创意学习材料和配套系统，让进步更容易被看见、讨论和重复。
Founder-led product direction plus AI systems that accelerate feedback while preserving human judgment.
创始人主导产品方向，同时用 AI 系统加速反馈，但保留人的判断和最终责任。
Jun Huang is the founder of Shattering The Abyss LLC and the lead architect behind 24HSC. His work combines software engineering, AI operations, game systems, coaching workflows, and organizational design.
Jun Huang 是 Shattering The Abyss LLC 的创始人，也是 24HSC 背后的主要架构设计者。他的工作结合了软件工程、AI operations、游戏系统、教练流程和组织设计。
Jun builds systems that help people turn pressure, confusion, and scattered information into clearer decisions and forward motion.
Jun 建设的系统，帮助人在压力、混乱和碎片信息中形成更清晰的判断，并继续向前行动。
Learn more: linkedin.com/in/jun-huang-sta
24 is STA’s execution machine and resolution engine for turning messy inputs into useful, reviewable work.
24 是 STA 的 execution machine 和 resolution engine，把混乱输入转化成有用、可复盘的工作产物。
24 is not treated as an oracle or chatbot. It preserves context, routes work, drafts evidence-backed outputs, and helps long-running projects keep moving.
24 不是 oracle，也不是普通聊天机器人。它负责保存上下文、路由任务、起草有证据支撑的输出，并帮助长期项目持续推进。
In 24HSC Bootcamp, 24 helps accelerate the feedback loop by producing AI-assisted game coaching reports from match activity, coach observations, and player development signals.
在 24HSC Bootcamp 中，24 会通过 AI 辅助游戏教练报告加速反馈循环，把比赛活动、教练观察和玩家成长信号整理成可用材料。
36 is the planned trust-scaling layer that helps complete the system around review, confidence, and safety.
36 是计划中的 trust-scaling layer，用来补全 review、confidence 和 safety。
Where 24 focuses on execution and resolution, 36 is intended to support review quality, risk checks, approval readiness, and confidence for AI-assisted workflows.
如果说 24 负责执行和解决问题，36 则会支持 review quality、风险检查、approval readiness，以及 AI 辅助工作流所需的信任基础。
Together, 24 and 36 represent STA’s operating direction: speed up learning and work completion while preserving evidence, human judgment, and final responsibility.
24 和 36 合在一起，代表 STA 的方向：加速学习和完成工作，同时保留证据、人的判断和最终责任。
Academic guidance for turning 24HSC’s game-based practice into credible learning, assessment, and student-development structure.
为 24HSC 将游戏化训练转化为可信的学习、评估和学生成长结构提供学术指导。
Xiaoying “Maggie” Han is Professor of Mathematics in Auburn University’s Department of Mathematics and Statistics and Associate Dean for Academic Affairs in Auburn’s College of Sciences and Mathematics.
Xiaoying “Maggie” Han 是 Auburn University Department of Mathematics and Statistics 的数学教授，也是 College of Sciences and Mathematics 的 Associate Dean for Academic Affairs。
Her academic background spans applied mathematics, actuarial mathematics, and differential equations. As 24HSC’s strategic academic advisor, she helps us think clearly about learning design, assessment quality, and how game-based decision training can become academically legible.
她的学术背景覆盖 applied mathematics、actuarial mathematics 和 differential equations。作为 24HSC 的战略学术顾问，她帮助我们思考学习设计、评估质量，以及如何让游戏化决策训练具备学术可读性。
Maggie helps anchor 24HSC’s training work in serious academic judgment, measurable growth, and responsible student-development design.
Maggie 帮助 24HSC 的训练工作锚定在严肃的学术判断、可衡量成长和负责任的学生发展设计上。
Academic profile: Auburn University COSAM
Professional esports coaches who bring real competitive experience into structured training and student development.
职业电竞教练把真实竞技经验带入结构化训练和学生成长。
Kevin is a veteran competitive player turned professional esports coach. He competed in Apex Legends as a semi-pro player on a Top 40 EU team, qualified for ALGS competition, and won multiple tournaments. He also competed at the top of the Dota 2 ladder as an Immortal mid-laner.
Kevin 是从高水平竞技玩家转型而来的职业电竞教练。他曾作为 Apex Legends Top 40 EU 队伍的半职业选手参赛，打进 ALGS 资格赛并多次获得赛事冠军；在 Dota 2 中也曾长期处于 Immortal mid-laner 水平。
He brings over four years of professional coaching experience through Corsair and WeCoach, along with three semesters managing and training university esports teams.
他拥有四年以上 Corsair 和 WeCoach 职业教练经验，也有三个学期管理和训练大学电竞队伍的经验。
Kevin helps players replace bad habits with stronger decisions, sharper review habits, and more disciplined competitive execution.
Kevin 帮助玩家用更强的决策、更清晰的复盘习惯和更有纪律的竞技执行替换坏习惯。
Po is a former competitive player turned professional esports coach. He competed in Apex Legends as a semi-pro player on a Top 40 EU team, qualified for ALGS competition, and won multiple tournaments. In League of Legends, he reached Challenger and competed in ERL1 and ERL2.
Po 是从竞技选手转型而来的职业电竞教练。他曾作为 Apex Legends Top 40 EU 队伍的半职业选手参赛，打进 ALGS 资格赛并多次夺冠；在 League of Legends 中达到 Challenger，并参加过 ERL1 和 ERL2。
His coaching is built on practical competitive experience, helping players identify the mistakes holding them back and develop decision-making patterns used by top-level competitors.
他的教练方法建立在真实竞技经验上，帮助玩家找到阻碍自己的错误，并建立高水平选手使用的决策模式。
Po helps players find the mistakes holding them back and turn competitive experience into better decisions under pressure.
Po 帮助玩家找到拖住自己的问题，并把竞技经验转化成压力下更好的决策。
Contributors and serious users who help turn raw activity into clearer coaching outputs and product learning.
贡献者和高强度用户帮助我们把原始活动转化成更清晰的教练输出和产品学习。
Melody Zhu is a U.S.-based data scientist supporting STA’s applied product and coaching work. Her work focuses on helping turn messy gameplay, feedback, and performance information into clearer review structures and training insights.
Melody Zhu 是美国的 data scientist，支持 STA 的应用产品和教练工作。她的重点是把混乱的游戏过程、反馈和表现信息整理成更清晰的复盘结构和训练洞察。
Melody helps turn gameplay and feedback signals into clearer coaching insights and more useful training reports.
Melody 帮助把游戏和反馈信号转化成更清晰的教练洞察和更有用的训练报告。
Aaron is an incoming Harvard student and recent University of Michigan graduate. He is currently a serious 24HSC power user and prospective fall intern, helping us understand how advanced users interact with AI-assisted coaching and workflow tools.
Aaron 是即将入读 Harvard 的学生，近期毕业于 University of Michigan。他目前是 24HSC 的高强度 power user，也是秋季准实习生，帮助我们理解高级用户如何使用 AI 辅助教练和工作流工具。
Aaron helps us understand how serious users interact with 24HSC before he formally joins as a fall intern.
Aaron 在正式秋季加入前，帮助我们理解认真用户如何与 24HSC 互动。
Creative contributors who help STA’s ideas become visible, memorable, and emotionally readable.
创意贡献者帮助 STA 的想法变得可见、可记忆，并且能被情绪上读懂。
Ziyan “LPP” Jin is STA’s main visual artist and one of the team’s strongest creative production forces. She oversees and produces visual assets across STA projects, including character visuals, 2D graphics, visual identity explorations, short-form video assets, and motion-oriented creative work.
Ziyan “LPP” Jin 是 STA 的主力视觉艺术家，也是目前团队最强的创意生产火力之一。她负责和产出 STA 项目中的视觉资产，包括角色视觉、2D 图形、视觉识别探索、短视频素材和动态视觉工作。
Ziyan helps turn STA’s ideas into strong visual assets, characters, and creative worlds people can recognize and remember.
Ziyan 帮助把 STA 的想法变成强视觉资产、角色和让人记得住的创意世界。
Carys Sun contributes branding, styling, and creative perspective to STA’s evolving product and universe work. She studied at Istituto Marangoni in London, bringing a fashion, styling, and international design background into the team’s creative process.
Carys Sun 为 STA 不断发展的产品和世界观工作提供品牌、造型和创意视角。她毕业于伦敦的 Istituto Marangoni，把 fashion、styling 和国际设计背景带入团队创作过程。
Carys helps shape the look, feel, and emotional tone of STA’s brands and creative worlds.
Carys 帮助塑造 STA 品牌和创意世界的视觉感受、风格和情绪语气。
Angela Liu is a design intern contributing to STA’s branding and visual design work. She recently graduated from the University of Washington and will attend The Chinese University of Hong Kong in the fall for graduate study in design.
Angela Liu 是设计实习生，参与 STA 的品牌和视觉设计工作。她最近毕业于 University of Washington，并将在秋季前往香港中文大学攻读设计方向研究生。
Angela helps bring STA’s culture and creative identity into visual design, apparel, and brand-facing materials.
Angela 帮助把 STA 的文化和创意身份转化成视觉设计、服装和品牌材料。
Non-staff observer role: outside perspective on lore, signal interpretation, curiosity, and long-range continuity.
非 staff 观察者角色：提供关于 lore、信号解释、好奇心和长期连续性的外部视角。
AllisonLT is a non-staff observer connected to STA through Turtle Tactician / 玄龟宗, where the central discipline is signal processing: reducing noise, preserving meaningful signals, and studying how ideas move through history, culture, and systems.
AllisonLT 是非 staff 观察者，通过 Turtle Tactician / 玄龟宗 与 STA 相连。玄龟宗的核心学科是信号处理：减少噪音、保留有意义的信号，并研究想法如何穿过历史、文化和系统。
She is currently a senior undergraduate student at Shanghai Jiao Tong University. She brings curiosity, historical imagination, systems thinking, and careful observation.
她目前是上海交通大学大四学生，带来好奇心、历史想象力、系统思维和细致观察。
AllisonLT helps STA think about history, curiosity, signal, and continuity from the perspective of a careful observer.
AllisonLT 从细致观察者的角度，帮助 STA 思考历史、好奇心、信号和长期连续性。