Published: 2026-07-10 14:51 HKT
Your first Stripe payment website step has succeeded. This is real progress.
你们的支付网站第一步已经成功。这是一个真实进步。
We will continue improving until your own product page can connect with your Stripe account in test mode.
下周继续完善,直到你们自己的商品页能与自己的 Stripe 账号测试跑通。
Stripe Learning:
Next week, at least 2 students must be onsite in Admiralty every working day.
下周开始,金钟现场每天必须至少有 2 位同学 在现场。
If leave is needed, find another student to cover and email Benny and Ricky for confirmation.
如需请假,必须找到同学补位,并发邮件通知 Benny 和 Ricky 确认。
Who is in Admiralty today:
To be confirmed by student rota To be confirmed by student rota
Open Admiralty Check-in / 打开金钟签到与排班
Current default: 59 calendar days · Date: 2026-09-07
当前默认:59 个日历日。每位同学之后可以提交自己的真实第一天上班日期。
Host: Jay
Topic: HO Ka Hin's Personal Meeting Room
Meeting ID: 948 870 9086
Homepage History: View saved homepage versions / 查看首页历史版本
Your Runtime: kyle37.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/kyle37/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。