Project Lead: Nicholas
Personal Home: nicholas90.homelinked.tech
Paid Validation Page: nicholas90.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.
This browser or device may not support direct Web NFC writing. Use the NFC URL Payload above, or open an NFC writing app and write this URL into the NFC tag.
QR is for face-to-face sharing. Copy Link is for social media, email, WhatsApp, WeChat, notes, or cross-device transfer. NFC writes the same URL into a physical tag. RFID / UWB can map hardware ID to this Capability Link in the registry.
Smart Mobility Infrastructure for the AI Economy
A Practice Project for Capability Commerce, Local Materials, Student Evidence and Human Life Continuity
Your job is to make these real problems visible, modelable, and evidence-ready.
3. From Shopping Mindset to Capability Modeling
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？”
4. The BagSpace Action Loop
Consumption Model
↓
Event Model
↓
Object Model
↓
Capability Model
↓
Matching Model
↓
Output Object
↓
Evidence
Consumption Model
What would a normal person buy to solve this problem?
Event Model
What is happening? Who is involved? Where is it? What is the constraint?
Object Model
What objects, tools, cables, furniture, devices, materials or spaces are visible?
Capability Model
What capability does each object provide or lack?
Matching Model
Can we match the missing capability with local materials, USB-C power, tools, BagSpace kits, student design, or supplier products?
Output Object
Can this become a StudySpace, WorkSpace, PowerSpace, ComputeSpace, RepairSpace, or LivingSpace in a Bag?
Evidence
What photos, notes, SQLite records, JSONL logs, screenshots and webpage proof can be created?
5. Why SQLite and JSONL Matter
SQLite and JSONL are not just technical tools.
They help turn one-time experience into reusable evidence.
SQLite = Current State
SQLite records what exists now:
objects
tasks
materials
power items
tools
evidence
project status
JSONL = Historical Evidence
JSONL records what happened:
who did what
when it happened
what problem appeared
how it was solved
what should happen next
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.
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/nicholas90/exports
8. Ask Admin to publish to your Evidence page
7. AI Prompt You Can Use
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.
