Official account
Articles, course introductions, trial entry points and FAQs guide attention towards one concrete service.
Menu and content entry → assessment / trial XAppTHINK AHEAD. BUILD WHAT'S NEXT.
One coding studio, six growth directions.
Every course with its own digital mentor,
with enquiry, learning, progress and admin flowing into each other.

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.
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.
Course directions
Digital staff with clear roles
Shared course and service rules
Organise the studio's knowledge, courses and process
so each direction keeps its own expertise.

Articles, course introductions, trial entry points and FAQs guide attention towards one concrete service.
Menu and content entry → assessment / trial XAppDigital 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 statusTasks, 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-practiceUnified course versions and service rules, handling review, bookings and exceptions; products, orders and entitlements use platform capability.
Teaching judgement → delivery check → business adjustmentCourse 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.
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.
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.
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 ↗Python, problem decomposition, expression and debugging.
Data cleaning, charts, training and validation.
Metrics, experiment comparison and method explanation.
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.
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.
Understand the child first, then find a suitable trial.
Disputed fit, specific classes and formal enrolment are confirmed by a human adviser.
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

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

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

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.
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.
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.

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.
# sample logic, Python does not run on this page train_data, valid_data = split(data) model.fit(train_data) compare(train_score, valid_score)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

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

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

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

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.
They know where they are stuck and have one next action.
They judge the next step from works, attempts and question summaries.
Tasks, knowledge and guidance rules iterate with the course version.
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.

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.
They know what was bought and what they can see; paying does not automatically grant access to every private conversation.
Course access maps to the actual account in use, with records kept down to the task and work.
Notices are sent under channel permissions and rules; class changes, refunds and special commitments are confirmed by a human.
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

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

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

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

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

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.
Complex questions, work review, bookings and admin requests enter a clear queue, recording the owner, status and confirmed result.
Learning evidence comes from tasks, works and teacher feedback, shown under family authorisation — never replaced by check-in counts.
Products, entitlements and orders are carried by the platform; the studio watches teaching hours, review hours, AI usage and refunds.
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.
Xingqiao understands the need and explains that admin must confirm.
Fill in the make-up intent and view the request and result inside the app.
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.

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

Sets the learning goal and reviews specialist knowledge and task difficulty.
Adjusts the classroom, knowledge base and interaction, and checks version consistency.
Do stage diagnosis, work review and the parent conversations that need trust.
Confirm scheduling, entitlements, promotions and service capacity, and review the business result.
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.
One direction, one light task, to see how the child thinks and operates.
Choose one direction and connect classroom, works and stage feedback into one stretch of learning.
With basics in place, move into a deeper AI, game, app or robotics project.
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.
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.
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.
Pick one direction and state the student starting point, course goal, delivery, duration, and the AI / human boundary.
Use WorkBuddy with Myriad Masters to build the course XApp and organise knowledge, demonstration, questioning and handover rules.
Configure the official account and WeCom reception, and confirm products, account authorisation, family linking and admin handover.
Check with four identities — teacher, student, parent and admin — then watch service hours and cost before copying to the next course.
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.
Design your own digital staff and intelligent classroom, starting from your first course.
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.
