Published: 2026-07-16 10:41 HKT
Your skill is not only a task.
It can become a priced capability, an accepted output, and a long-term revenue lineage.
你的技能不只是一次任务。
它可以成为有价格的能力、被验收的输出、以及长期分账的谱系。
Open Talent Ready Lab / 打开人才就绪实验室
Contract Boundary: This is a general internship capability-development and project-practice requirement. It does not replace, amend or override any individual internship agreement.
合约边界:这是实习期间的通用能力培养及项目实践要求,不取代、修改或覆盖任何个人实习合约。
One Student = One Small Capability Company Context Architect + AI Output & Evidence Analyst + Creative Lineage Designer + AI Workflow Builder + Runtime Steward
Next Task: create your own Talent Product Card.
下一步任务:提交自己的 Talent Product Card。
Contract Role Note: We do not list the exact formal contract role here. Please refer to your own internship agreement.
合约职位说明:这里不公开逐一列出具体正式合约岗位,请以你本人收到的实习合约为准。
Published: 2026-07-13 12:47 HKT
Each intern’s formal job title, duties and Workplace Supervisor remain those stated in the individual internship agreement. These may include UX/UI Trainee, Software Engineering Intern, Marketing Intern or other agreed roles.
每位实习生的正式职位、工作职责及 Workplace Supervisor,均以其个人实习合约所列内容为准,包括 UX/UI、软件工程、市场推广或其他已约定岗位。
InnoSpire’s core product work focuses on smart glasses and assistive technology. GenAI and robotics are enabling technologies supporting those products, while myRCC and PV-600 provide a limited capability-development and commercialisation-validation layer.
InnoSpire 的核心产品工作是智能眼镜及辅助科技;GenAI 与机器人技术是支持相关产品的能力层,而 myRCC 及 PV-600 是在此基础上的有限能力培养与商业化验证层。
Each intern participates in this shared company project through tasks relevant to their own contracted role. This general framework supplements the individual internship agreement and does not replace, amend or override it.
每位实习生按照自己的合约岗位参与这个共同公司项目。本通用框架仅作为补充,不取代、修改或覆盖个人实习合约。
Smart Glasses & Assistive Technology → GenAI and Robotics Capabilities → User Validation and Commercialisation 智能眼镜与辅助科技 → GenAI 与机器人能力 → 用户验证与商业化
Published: 2026-07-13 12:47 HKT
We are aligning the shared project description with each intern’s individual contract role, supervisor and duties.
现在我们把共同项目说明与每位实习生的个人合约职位、工作主管及职责对齐。
Formal Contract Role: As stated in your individual internship agreement Shared Project Assignment: GenAI, Robotics and Commercialisation Support 正式合约职位:以你的个人实习合约为准 共同项目任务:GenAI、机器人及产品商业化支持
Workplace Supervisor: As stated in your individual internship agreement Company Project Technical Contact: Ricky, CTO Project Advisor & Learning Mentor: Benny Company Representative: Kevin, CEO 工作主管:以你的个人实习合约为准 公司项目技术联系人:Ricky,CTO 项目顾问及学习导师:Benny 公司代表:Kevin,CEO
English: Software development, integration, testing and documentation for GenAI-enabled product systems and approved myRCC prototype workflows.
中文:参与 GenAI 产品系统及获批准的 myRCC 原型流程的软件开发、集成、测试及文件编写。
Project Lead: Jay Ho Personal Home: jayho80.homelinked.tech Paid Validation Page: jayho80.myrcc.tech Maximum per payment: HK$200 Maximum captured payments: 3 Maximum gross total: HK$600 Maximum active jobs: 1 Platform fee: HK$0
Deployment Note: myrcc.tech and Stripe integration will be deployed progressively according to each student’s readiness.
部署说明:myrcc.tech 与每位同学 Stripe 的对接,会根据每位同学的进度逐步部署;不是所有人同时开放。
Evidence Boundary: Payment is not delivery. Delivery is not acceptance. One closed loop before scale.
证据边界:付款不是交付;交付不是验收;一个闭环被证明前,不扩大下一轮。
Contract Alignment: The shared project description records the wider company context. The student’s formal role, duties, supervisor and internship relationship remain governed by the individual internship agreement.
合约对齐:共同项目说明用于解释公司的整体项目背景;学生的正式职位、职责、工作主管及实习关系,继续以个人实习合约为准。
Homepage History: View saved homepage versions / 查看首页历史版本
Your Runtime: jayho80.homelinked.tech
Your Role: Student Maintainer · Reality Observer · Capability Builder · Evidence Publisher
This internship is not only about learning software, building webpages, or writing reports.
You are joining a real practice project:
Smart Mobility Infrastructure for the AI Economy.
This means we are exploring how learning, work, living, power, tools, materials, local compute, AI and human capability can move with people.
这不是普通实习。你们正在参与一个 AI 经济下的 Smart Mobility 实践项目。
Smart Mobility is not only about transport. It is about how capability moves through real life.
Your first real cases are not far away.
They may be:
Most people experience these problems every day but never record them, model them, or turn them into reusable value.
很多真实影响,其实就发生在你自己的家、小区、教室、同学、老师和家人身边。只是大多数时候,没有人把它总结成可记录、可重现、可传播的价值。
Your job is to make these real problems visible, modelable, and evidence-ready.
Traditional thinking:
I have a problem ↓ I search online ↓ I buy a product ↓ I hope it works
BagSpace / AI Economy thinking:
I have a real scene ↓ I take photos ↓ I define the event ↓ I identify the objects ↓ I model the missing capability ↓ I match local materials, USB-C power, tools, compute, AI and supplier products ↓ I create a BagSpace object or kit ↓ I publish evidence
Do not start by asking:
What should I buy?
Start by asking:
What capability is missing here?
不要先问“我该买什么?” 先问“这里缺少什么能力?”
Consumption Model ↓ Event Model ↓ Object Model ↓ Capability Model ↓ Matching Model ↓ Output Object ↓ Evidence
What would a normal person buy to solve this problem?
What is happening? Who is involved? Where is it? What is the constraint?
What objects, tools, cables, furniture, devices, materials or spaces are visible?
What capability does each object provide or lack?
Can we match the missing capability with local materials, USB-C power, tools, BagSpace kits, student design, or supplier products?
Can this become a StudySpace, WorkSpace, PowerSpace, ComputeSpace, RepairSpace, or LivingSpace in a Bag?
What photos, notes, SQLite records, JSONL logs, screenshots and webpage proof can be created?
SQLite and JSONL are not just technical tools.
They help turn one-time experience into reusable evidence.
SQLite records what exists now:
JSONL records what happened:
The LTE exhibition was powerful because it happened in reality.
But if we do not record it, it becomes only memory.
If we record it with photos, SQLite, JSONL, evidence pages and reflection, it becomes reusable value.
这就是 SQLite / JSONL 的价值:把一次真实事件,变成可记录、可重现、可交接、可传播的能力证据。
Choose one familiar real scene:
Then do this:
1. Take 3 photos 2. Describe the event 3. List the objects 4. Identify the missing capability 5. Suggest one BagSpace output object 6. Save your notes 7. Put materials into /opt/workspaces/jayho80/exports 8. Ask Admin to publish to your Evidence page
You are a BagSpace analyst. Please analyze this real photo or event. Create: 1. Consumption Model What would a normal person buy to solve this problem? 2. Event Model Who is involved? Where is it? What is happening? What is the problem? What are the constraints? 3. Object Model List all useful objects, materials, tools, power items and space elements. 4. Capability Model For each object, explain what capability it may provide. 5. Matching Model Match the capability with local materials, USB-C power, tools, BagSpace kits, or supplier products. 6. Output Object Suggest one small BagSpace prototype: StudySpace / WorkSpace / PowerSpace / ComputeSpace / RepairSpace / LivingSpace in a Bag. 7. Evidence Plan What photos, notes, database fields, JSONL records and webpage evidence should I create? Focus on Hong Kong small spaces, student life, Kwun Tong local materials, low-voltage safety, and practical prototypes. Do not overclaim. Do not suggest unsafe battery or 220V modifications.
You are not only doing schoolwork.
You are helping build a practice project for:
You can start from a very small scene:
If you record it well, model it clearly and publish evidence, it can become part of a larger global story.
如果你能把一个真实小问题记录好、建模好、发布成证据,它就可能从个人经验变成全球可理解的价值。
安全第一,证据第一,小步快跑。
You are part of a Smart Mobility Infrastructure practice project for the AI Economy.
Your first laboratory is your own real life.
Your first evidence can come from your home, classroom, community, family, teacher, friend or workspace.
Start small. Model clearly. Publish evidence. Help the next person continue.
你的第一个实验室,就是你的真实生活。 你的第一个证据,可以来自你的家、教室、小区、家人、老师、同学或工作空间。
AI-era Runtime development without traditional root-server deployment.
中文解释:为什么 Jay 的 Python Runtime 开发通常不需要 sudo,以及如何从旧 Python 项目迁移到当前 Runtime。