← Back to showcaseCASE 02 / YOUTH CODING STUDIO · AN IDEAL OPERATING SYSTEM
未来感案例标识Future-facingyouth coding

THINK AHEAD. BUILD WHAT'S NEXT.

To win the future,
has to looklike the future.

One coding studio, six growth directions.
Every course with its own digital mentor,
with enquiry, learning, progress and admin flowing into each other.

Official account + WeComCourse XApp × specialist twinsHuman teachers decide
AI生成的未来感编程课堂概念插画:学生与老师在现代实验室探索机器人和编程
Every direction has a mentor who knows that subject.Explains concepts · answers around the current task · hands over to a human for review
01 / CurriculumCompetition and engineering have their own pathsSix directions · chosen by level and goal↗02 / Digital staffA service team with clear division of labourDirection advice · course questions · progress and admin↗03 / Studio operationsTurning teaching experience into a deliverable systemCourse templates · entitlement offers · human to-do↗

Future-facing is a fictional studio; its people, courses, interfaces, conversations and numbers are design examples. Interactive fragments are preset demos; a real system must be configured, built and connected for the institution.

01 / THE OPERATING SYSTEM

One studio,
one service system that works together.

Parents learn about courses from the WeChat entry they already use; direction-specific digital staff handle enquiries and service; students learn, ask and practise inside the course XApp, while human teachers focus on diagnosis, review and key decisions.

6 个

Course directions

9 位

Digital staff with clear roles

1 套

Shared course and service rules

Organise the studio's knowledge, courses and process
so each direction keeps its own expertise.

AI生成的系统概念插画:服务号入口、智能导师课堂和机构课程管理相互连接
Someone receives at the entrance, a mentor in every course, a record for every delivery, and a human responsible for what matters.
01 / Meet the studio

Official account

Articles, course introductions, trial entry points and FAQs guide attention towards one concrete service.

Menu and content entry → assessment / trial XApp
02 / Continuous reception

WeCom and WeChat service desk

Digital staff are configured per direction for course conversations, progress questions and admin needs, handing over to a human when needed.

Direction reception → summary and human handling status
03 / Real delivery

The XApp that integrates the twin

Tasks, knowledge cards, interactive animation, voice explanation and work records live in one classroom, with the twin guiding around the current content.

See, hear, ask, do → work and re-practice
04 / Studio management

Teacher and admin workbench

Unified course versions and service rules, handling review, bookings and exceptions; products, orders and entitlements use platform capability.

Teaching judgement → delivery check → business adjustment

Course records, family links and human to-dos can be organised in a custom studio XApp; each channel needs its own authorisation. Cross-channel service relies on what is permitted to be shared, not automatic sharing of every private conversation.

02 / SIX LEARNING DIRECTIONS

Capability for the future
starts with one piece of work a child actually makes.

Competition is a long accumulation; engineering creation is another solid path. Judge the starting point and the interest first, then use tasks, works and review to test learning. Click a course to see how it delivers.

Sample project / competition growth lab

Use a small dataset to explain why a model predicts wrongly

Python and computational thinkingData processing and visualisationMachine learning and experiment comparisonAdvanced vision / language tasks

Tasks, notebook ideas, experiment records and variant practice are connected, with the twin explaining and prompting around the current problem.

What the student keepsCode, experiment comparisons, error causes and the next practice

A human coach owns route diagnosis, experiment review and stage decisions.

AI数据实验的向量图示
AI competition direction / example long-term pathway

Start in Year 4
and build the foundation first.

NOAI / IOAI concern artificial intelligence capability and are not equivalent to traditional informatics competitions. The pathway follows the student's actual ability.

See the official course basis ↗
  1. 01

    Coding and maths habits

    Python, problem decomposition, expression and debugging.

  2. 02

    Data and model foundations

    Data cleaning, charts, training and validation.

  3. 03

    Machine learning and projects

    Metrics, experiment comparison and method explanation.

  4. 04

    Advanced work and competition preparation

    Move into deep learning, vision or language tasks by ability, with experiment training and review.

Year 4 is the starting point designed in this case, not an official entry requirement or a promise of advancement. Ages, eligibility, schedules and selection follow the organiser's notice for that year. External coding tools, devices and runtime environments must be prepared or connected separately.

03 / A SPECIALIST TEAM

Parents ask about courses, children ask about code.
Let the right digital employee answer.

The studio gives each digital employee direction knowledge, course rules, service scope and handover conditions. Advisers navigate, course mentors answer the specialist questions, and progress and admin staff carry the follow-up.

Official account / WeCom enquiry entry

Weiwei · course navigation adviser

Understand the child first, then find a suitable trial.

Context received
Year group, existing level, interests and available time
What this round can do
Offer one or two trial options and a pathway explanation
See the matching course ↗
Preset conversation demo · switch roles on the left to see the division of labour
My child is in Year 4, knows a little Scratch — should we go straight into AI competition?
First see whether the child can finish a small task alone and explain their thinking, then decide the entry. Start with a creative or Python trial; once interested and ready, move gradually into data and AI. Year 4 is where this studio's long pathway begins; eligibility and selection follow the official rules for the year.

Disputed fit, specific classes and formal enrolment are confirmed by a human adviser.

WECHAT CONVERSATIONS / SERVICE INSIDE WECHAT

The conversation stays in WeChat;
the work happens in the XApp.

The official account carries text, voice, images and ordinary links. The link card in the picture has one destination; choosing tasks, doing exercises, checking progress and booking all happen inside the XApp it opens.Concept screenshot generated with GPT Image · click an interface to enlarge

Official accountConversation, voice reply and send entry
The XApp page after openingCourse selection, classroom, forms and entitlement records
了解起点,发送体验入口概念截图:用文字了解年级与基础,再发一张体验链接;具体方向在 XApp 中选择。
01 / Weiwei · course enquiry

Understand the starting point, send the trial entry

Text to learn the year group and level, then send one trial link; the specific direction is chosen in the XApp.

文字与语音,接上课程练习概念截图:先解释训练与验证,再发送课堂链接;实验操作和记录在课程应用中完成。
02 / Yuanhang · AI questions

Text and voice, connected to course practice

Explain training and validation first, then send the classroom link; experiments and records happen in the course app.

讲清学习记录,接续家长服务概念截图:依据授权摘要回应家长,发送家长中心链接;作品与预约意向在应用内查看和填写。
03 / Chengxing · progress service

Explain the learning record, continue parent service

Reply to the parent from the authorised summary and send the parent centre link; works and booking intent are viewed and filled in the app.

Role names describe the speaker in the reply text. No buttons, forms or status controls are embedded in the WeChat messages shown; what can actually be sent, and when, depends on account permissions, channel interfaces and WeChat rules.

One studio's rules,
specialist expertise per role.

Every role shares the reviewed studio introduction, course entitlements and admin rules; specialist knowledge, available material and action permissions are configured per post. Price commitments, pathway changes, refunds and complex issues go to a human with authority.

04 / AN AGENT INSIDE EVERY CLASS

The twin enters the course,
moving from answering questions to helping students finish the work.

The course XApp supplies the current chapter, the task and the student's chosen code or record. The twin explains concepts from that, demonstrates with graphics and animation, answers follow-ups by voice, then pushes learning into an actual operation.

AI生成的竞赛成长实验室概念界面,展示训练与验证、数据图表、代码和远航导师
Concept interface / layout, tasks and twin behaviour can be customised per course.
Instructional design × course context × intelligent interaction

Teachers design the teaching;
the twin carries the daily explanation.

  • Can explainExplains in segments from the knowledge card, with graphic prompts and interactive animation.
  • Can be askedStudents ask by text or voice and get answers around this section and the chosen material.
  • Guides doingGives hints and encourages testing first, rather than finishing the work for the student.
  • Leaves a recordTurns experiment observations, works and re-practice into a course record.

A real classroom can connect speech recognition, synthesis and twin animation; a teacher's voice needs the relevant authorisation. Scope of use, AI quota and human service are agreed with the course.

Interactive fragmentSwitch course and see how the twin works with the task.
Preset content · not live AI · does not execute code
Data and models · sample fragment

Has the model learned, or memorised?

训练集与验证集的示意图
# sample logic, Python does not run on this page train_data, valid_data = split(data) model.fit(train_data) compare(train_score, valid_score)
Observe the difference between training and validationChange one condition → record the result → explain the observation
DESKTOP XAPPS / MAKE THINGS ON A COMPUTER

Different courses,
each with a workspace that fits.

Task, editor, run output and mentor together. Students ask while doing; the twin guides from the current course and chosen material, and the teacher continues the review.Concept screenshot generated with GPT Image · click an interface to enlarge

创意任务岛 · 积木与图形概念截图:围绕舞台、循环和边缘判断拆解规则,运行后说出观察。
SCRATCH / Xiaochuang

Creative task island · blocks and graphics

Break down the rules around the stage, loops and edge detection, then run it and describe what happened.

游戏开发 · 碰撞与状态概念截图:对照修改前后的触发结果,先把一个障碍的规则测试清楚。
GAME / Ayau

Game development · collision and state

Compare the trigger result before and after the change, testing one obstacle's rule properly first.

应用创造 · 页面与权限概念截图:从作品墙的需求进入角色权限,用测试资料验证后交老师审核。
APP / Gougou

App creation · pages and permissions

Move from a requirement on the work wall into role permissions, verify with test data, then submit to the teacher for review.

机器人实验 · 读数与阈值概念截图:在演示模式下比较传感器读数,记录测试;实物操作由现场老师确认。
ROBOTICS / Xiaozhi

Robotics lab · readings and thresholds

Compare sensor readings in demo mode and record the test; physical operation is confirmed by the teacher on site.

The interfaces show the design approach of a course XApp. Block editors, game runtimes or hardware capability must be chosen, built or connected per course, and do not mean the platform ships every external tool.

01Students get concrete help

They know where they are stuck and have one next action.

02Teachers get review clues

They judge the next step from works, attempts and question summaries.

03The studio keeps the course standard

Tasks, knowledge and guidance rules iterate with the course version.

05 / ONE FAMILY, CONNECTED SERVICES

From one enquiry
to visible growth.

Follow Lele in Year 4 and Mama Zhou to see how payment, learning, progress and admin connect. Every step says who serves, what results, and where to go next.

AI生成的机构在线服务概念插画:家长和学生在现代学院咨询空间查看学习项目,数字导师提供指导
Official account · course navigation

Mama Zhou asks first; the studio understands the child first.

The child knows a little Scratch — competition or robotics?

Do one light task in each first: a Python graphics change, and one sensor decision. Watch how the child operates and explains, then discuss the right starting point with a teacher.

Parents pay and authorise

They know what was bought and what they can see; paying does not automatically grant access to every private conversation.

The child has their own learning space

Course access maps to the actual account in use, with records kept down to the task and work.

The studio has a clear service responsibility

Notices are sent under channel permissions and rules; class changes, refunds and special commitments are confirmed by a human.

MOBILE XAPPS / CONTINUING SERVICE ON A PHONE

From course choice to progress,
the phone has its own service apps.

Parents can understand, authorise and check; students can keep reading knowledge cards, listening to explanations and recording observations. The same authorised course material as desktop, laid out for the context of use.Concept screenshot generated with GPT Image · click an interface to enlarge

课程中心概念截图:六个课程方向与起点体验集中呈现,顾问帮助理解路径。
COURSES / Weiwei

Course centre

Six directions and starter trials in one place, with an adviser to explain the pathway.

随身 AI 课堂概念截图:图表、任务、语音讲解和追问入口,围绕当前知识点展开。
LEARNING / Yuanhang

AI classroom in your pocket

Charts, tasks, voice explanation and a place to ask, built around the current concept.

家长服务中心概念截图:展示授权作品、复练建议和教师反馈,家长有明确的下一步。
FAMILY / Chengxing

Parent service centre

Authorised works, re-practice suggestions and teacher feedback, with a clear next step for parents.

课程权益与抵扣券概念截图:把期限、分身额度、反馈次数和抵扣规则放在同一页说明。
ENTITLEMENTS / Entitlements

Course entitlements and vouchers

Duration, twin quota, feedback count and voucher rules explained on one page.

06 / BUILT FOR AN INSTITUTION

The richer the curriculum,
the more ordered the admin and delivery must be.

Course owners set the standard, WorkBuddy helps build apps and configure twins, and teachers review content and results. The studio turns what can be reused into templates and leaves professional judgement to the people responsible.

AI生成的机构教务工作台概念界面:六类课程、数字员工、订单与真人待办;全部为示例数据
Custom studio workbench concept / reporting and delivery states must be built on the actual data model.
01

Course and version

One course, one set of tasks, knowledge, questions and review standards. When the course changes, check twin knowledge and product descriptions at the same time.

02

Human to-do

Complex questions, work review, bookings and admin requests enter a clear queue, recording the owner, status and confirmed result.

03

Progress and service

Learning evidence comes from tasks, works and teacher feedback, shown under family authorisation — never replaced by check-in counts.

04

Orders and cost

Products, entitlements and orders are carried by the platform; the studio watches teaching hours, review hours, AI usage and refunds.

WECOM CUSTOMER SERVICE / ADMIN HANDOVER

Explain the need in WeChat,
submit the intent in the app,
confirm the result with a human.

The digital employee helps organise course and make-up needs and guides to the admin XApp with an ordinary link. The form and processing status live in the app; messages only describe the current situation in text.

  1. 01 / WeCom reception

    Xingqiao understands the need and explains that admin must confirm.

  2. 02 / Open the admin XApp

    Fill in the make-up intent and view the request and result inside the app.

  3. 03 / Human admin takes over

    Confirms against scheduling and course terms, recording the handler and result.

This is the WeCom customer-service concept conversation a client sees in WeChat, not the internal employee console. Sending messages and follow-up notices must satisfy the current channel's authorisation and rules.

补课咨询与应用入口概念截图:消息只展示普通文字和教务中心链接;补课申请与处理进度在 XApp 内完成。
Admin coordination / Xingqiao

Make-up enquiry and app entry

Messages show only plain text and the admin centre link; the make-up request and status happen inside the XApp.

WORKBUDDY + MYRIAD MASTERS

One course template:
the structure is reused, the expertise is updated.

Take the robotics lab course: the teacher provides objectives, equipment and safety requirements, and WorkBuddy helps produce the task XApp and mentor configuration. After course, permission and delivery checks, it goes into real teaching.

Tasks and knowledge cardsMentor knowledge and guidance rulesExperiment records and worksParent summary and human review

App development and twin design run through the relevant plugins; WeCom connection, product entitlements, promotions and message configuration use the platform console or authorised tools, confirming actual support and permissions item by item.

AI生成的工程课堂概念插画:学生在老师指导下测试机器人,清爽的白蓝色现代学习空间

Direction owner

Sets the learning goal and reviews specialist knowledge and task difficulty.

App and twin maintenance

Adjusts the classroom, knowledge base and interaction, and checks version consistency.

Teachers and homeroom staff

Do stage diagnosis, work review and the parent conversations that need trust.

Admin and management

Confirm scheduling, entitlements, promotions and service capacity, and review the business result.

07 / CLEAR PRODUCTS, SUSTAINABLE DELIVERY

Explain the paid value clearly,
and count promotion and service cost together.

From free trial to stage courses to advanced projects. Each product states duration, content, twin quota and human service, so "ask any time" never becomes an unlimited professional promise.

EXPERIENCE / Starter trial

Finish one small piece of work first

Free / example trial

One direction, one light task, to see how the child thinks and operates.

  • Trial task and twin prompts
  • Example result and pathway note
  • Human fit advice requires a booking
Trial scope and AI quota follow actual rules
ADVANCED / Advanced project course

Solve a more complete problem

¥3,280 / 12 weeks · example price

With basics in place, move into a deeper AI, game, app or robotics project.

  • 12 × 90-minute group classes, example 6 students per class
  • Course XApp and twin service, example 800 turns per student
  • 6 project reviews and stage pathway checks
Whether equipment, external software and competition fees are included must be listed separately

This page accepts no real enrolment or payment. Prices, quotas and capacity illustrate product design only and cannot be used to infer actual enrolment or revenue; real sales must use real products and platform settlement.

FLEXIBLE PROMOTIONS

A product voucher
that ties a promotion to a specific course.

For example, a stage-course voucher for a family that finished a trial. Parents can see which courses it applies to and the rules, and the studio can calculate the cost of each campaign.

Future-facing · stage-course voucher example¥200Applies to selected stage courses · usable over ¥1,680
  • Configure applicable products, threshold, amount and validity.
  • Combine trials, bundles, membership and time-limited campaigns.
  • Claiming, stacking and refund rules follow the console's actual capability and settlement checks.
Stage course example ¥1,680 − voucher ¥200Example payable ¥1,480
See the mobile entitlement screen ↗
COHORT BUDGET / ONE COHORT'S SERVICE BUDGET

Orders are not enough; you need the capacity to deliver.

Covers the full 8 / 12-week cycle of the courses sold, with revenue and service cost on the same basis.

Example net received¥102,480
Contribution after direct cost¥69,000
Voucher cost
¥2,400
Grouping and service hours
4 + 2 classes · 138.4 hours
Human service budget (¥200 / hour)
¥27,680
AI and other variable cost
¥1,800 / ¥4,000
See the calculation basis

Stage courses run 10 per class: 8 × 1.5 teaching hours plus 4 × 0.1 feedback hours per student. Advanced courses run 6 per class: 12 × 1.5 teaching hours plus 6 × 0.2 review hours per student. With orders, add 24 hours of prep and admin for this cohort. Vouchers are ¥200 per order and apply to stage courses only; refunds do not reduce service cost already budgeted. AI and other costs are fixed assumptions for this cohort and should be re-estimated from usage.

Contribution after direct cost = net received − labour − AI − other variable cost. It is not profit: rent, fixed salaries, acquisition, tax and equipment depreciation are not included.

Adjust order numbers to see grouping, service cost and promotion cost.

08 / START WITH ONE COURSE

Prove it on one course,
then extend to the whole studio.

Turn existing professional capability, course material, admin experience and customer relationships into a configurable system. Validate one direction's full service first, then extend the team and the curriculum.

  1. 01

    Define the service

    Pick one direction and state the student starting point, course goal, delivery, duration, and the AI / human boundary.

  2. 02

    Build the classroom and mentor

    Use WorkBuddy with Myriad Masters to build the course XApp and organise knowledge, demonstration, questioning and handover rules.

  3. 03

    Connect entry points and entitlements

    Configure the official account and WeCom reception, and confirm products, account authorisation, family linking and admin handover.

  4. 04

    Verify, then extend

    Check with four identities — teacher, student, parent and admin — then watch service hours and cost before copying to the next course.

Start with one clear requirement

Let WorkBuddy
help you think through your studio.

Fill in real material first, then generate the implementation list. Apps, twins, channels and products are verified separately; "generated" is not the same as deliverable.

I run a youth coding studio and want to build the service system for one course direction first. Existing material: courses, lesson plans, questions, works, teachers, official account and WeCom. Student starting point: year group, level, goal. First-cycle delivery: hours, works, review, duration. First map the division of labour across courses, twin mentors, classroom XApp, parent service and human admin, and list the material gaps. Then use the relevant Myriad Masters plugins to build the app and configure the twin step by step; configure channels, products, entitlements and promotions within actual permissions. State the course context, account authorisation, handover, AI budget and acceptance steps, and extend only after one course works.
Future-facingTo win the future, look like the future.

Let professional courses
have an equally professional service system.

Design your own digital staff and intelligent classroom, starting from your first course.

Talk through my studio scenario ↗
Sources, design notes and demo boundaries

Course directions reference official material; the pathway is designed for this case.

Material reviewed 2026-11-04. The Future-facing brand, six-course combination, nine roles, prices, family story and workbench are an ideal-studio design; they do not represent official curricula, eligibility or results. Prototype UI and figure illustrations were generated with GPT Image; SVG graphics were drawn for this case.

This page is a static case demo; classroom questions use preset answers, reading aloud uses the browser voice, and nothing connects to a real agent, user account, robot or transaction. A real application requires building the course XApp, connecting the platform and channels, and verifying permissions, data and service flow item by item.

The WeChat conversation and XApp visuals are GPT Image concept interfaces and do not represent real account messages or completed business. WeChat message appearance changes with client versions; the tasks, forms, entitlements and progress operations shown are designed for the XApp opened from a link.

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