Real projects are the primary learning carrier
Start from authentic needs, sustain inquiry and collaboration, and present outcomes to real audiences.
AI‑Shifu for School
An integrated talent development and teaching solution for the AI era.
PBL-Driven Learning
Project-led, course-supported
Project practice is the main learning carrier. Course learning supports the needs created by the project and helps learners organize what they have learned.
PBL / PROJECT BASED LEARNINGLearners investigate and respond to an authentic, engaging, and complex problem over time, gaining knowledge and skills through the work.
Learn as needed, then systematize
Build essential shared language before practice, then connect fragmented learning into a coherent knowledge system.
Capability goal: discover and define valuable problems · collaborate with AI and people to solve them
PBL-Driven Learning
Build capability through real projects
Turn learning into the ability to solve real problems, and turn project outcomes and process evidence into visible proof of growth.
VISIBLE RESULTRetain the project portfolio and process evidence so learners can explain what they solved, how they collaborated, and what value they created.
AI-Shifu Product System
One product system for PBL-driven learning
AI-Shifu connects daily AI work, course teaching, project management, and institutional governance in one product system.
Agent
The AI Assistant Desktop client connects students, teachers, and managers with Skills, Plugins, and approved tools.
Course + PBL
Courses support learning needs; projects organize tasks, evidence, feedback, evaluation, and portfolios.
Admin + shared data
Organizations, accounts, permissions, AI resources, costs, audit, and authorized data relationships.
Product System
Agent connects the whole system
Role-specific work enters through Agent, while shared identity, permissions, AI services, and data relationships keep the system governed.
PRIMARY ENTRYAI-Shifu AgentCompatible with third-party Agents, including ChatGPT and Claude
Shared identity · Permissions · AI services · Authorized data relationships · Audit
Agent, Course, PBL, and Admin are AI-Shifu modules. Third-party agents such as ChatGPT are labelled explicitly.
Product System
Agent is the daily work entry
Agent is the AI Assistant Desktop client. Students, teachers, and managers work through natural language while Skills and Plugins route each request.
Learn and do
Open the current project, plan work, use professional tools, learn on demand, and submit evidence.
Design and guide
Prepare courses and projects, review progress, give feedback, and organize evaluation.
Operate and govern
Review teaching signals, prepare actions, understand impact, and confirm governed changes.
Course
One course, personalized for every learner
AI-Shifu runs teacher-designed courses with adaptive explanation, interaction, practice, contextual questions, and multilingual support.
- Course creationBuild from materials and teaching objectives; teachers review and publish.
- Personalized teachingAdapt explanation, pace, practice, language, and interaction.
- Teaching evidenceRetain progress, answers, questions, and course-version context.
How Learners Learn
Listen mode turns every lesson into an AI-taught experience
Learners can hear the lesson, complete interactive checkpoints, and ask contextual questions without leaving the course.
How Learners Learn
One course can teach every learner in their preferred language
Built on an LLM foundation, AI‑Shifu adapts the teaching language automatically while preserving the same course design and objectives.
One course
One teaching design
Maintain one set of knowledge, objectives, interactions, and teaching logic.
LLM foundationAI‑Shifu
Understands the learner’s language and adapts the teaching experience automatically.
Automatic adaptation
Teach in the learner’s language
The course structure stays consistent while explanations and interactions switch naturally.
العربيةEnglish中文More
One course to maintain. Multiple languages to teach.
Course Creation
Easily build courses on AI-Shifu
AI-Shifu supports the journey from source materials and teaching goals to a reviewed course, live teaching, and iterative improvement.
AGENT
Prepare through conversation
Describe objectives, provide materials, review the outline, and confirm the course draft.
COURSE
Review, publish, teach, and improve
Teachers retain control over learning objectives, teaching logic, content, interactions, and each published version.
PBL
Make project work visible and assessable
PBL organizes project supply, team tasks, milestones, outcomes, feedback, evaluation, learning records, and portfolios.
SAMPLE PROJECT
Concept PreviewCampus energy improvement
Evidence connected to the learnerCourse learning · Project decisions · Individual contribution · Teacher-confirmed evaluation
COURSE + PBL
AI closes the loop across the entire teaching system
Course learning and PBL projects produce evidence. AI-Shifu prepares improvements across content, support and project design, while teachers retain control.
AI-supported PDCACourse + PBL · Teacher-controlled
Set teaching goals and plan improvements across Course and PBL.
Deliver courses and facilitate authentic projects.
Review learning evidence, feedback, and project outcomes.
Teachers confirm changes and begin the next cycle.
WEB ADMINISTRATION
One Web workspace for school-wide teaching management
Review teaching operations, learning progress, access and governance from one administration workspace.
Product System
Connect the full learning journey
Shared identity and authorized business relationships connect teaching, projects, evidence, and governance while each system remains responsible for its own records.
Unified identity · Explicit permissions · Versioned records · Traceable sources · Auditable actions
Connected does not mean one database. Existing academic systems remain responsible for official enrollment, grades, and credits unless an approved interface is implemented.
Service Support
Start from talent development goals
The solution is designed around the target learners, professional requirements, current courses, available resources, and implementation constraints.
Deliverables: pilot objectives, curriculum and project map, evaluation approach, responsibilities, and acceptance criteria.
Service Support
Support the full PBL lifecycle
Turn a project idea into a teachable experience with clear tasks, guidance, evidence, and reusable results.
Project design
Scenario, stakeholders, goals, constraints, and deliverables
Teaching preparation
Tasks, milestones, resources, AI rules, and rubrics
Progress support
Track progress, identify blocks, and support teacher feedback
Results and reuse
Collect outcomes, contributions, feedback, and reusable project assets
Service Support
Evaluate growth. Improve teaching.
Evaluation links learning records, project evidence, individual contribution, feedback, and teacher judgment without reducing capability to a single AI score.
Knowledge and learning
Progress, practice, questions, explanations, and learning revisions
Application and collaboration
Tasks, decisions, versions, results, feedback, and individual contribution
Review and improvement
Teacher-confirmed evaluation, teaching review, resource decisions, and next-cycle plans
Formal evaluation and changes remain the responsibility of authorized teachers and the institution.
Deployment
Choose the right deployment model
Run AI‑Shifu on premises, in the cloud, or across both environments.
01School controlled
On-premises
AI‑Shifu runs inside the school’s own infrastructure and data boundary.
02Managed service
Cloud SaaS
Use AI‑Shifu as a managed cloud service for a streamlined rollout.
03Policy-based split
Hybrid
Keep selected systems local while approved AI services run in the cloud.
Deployment architecture, data location, and operations are confirmed during solution design.