Learn one-to-one
Personalized explanations, practice, questions, language, and pace.
An AI-centered teaching management solution for educational institutions.
Overview
Personalized learning, faster course creation, and connected school operations—on one AI teaching platform.
What AI‑Shifu Is
An AI foundation powers conversational agents and web workspaces—delivering role-specific value across the school.
Personalized explanations, practice, questions, language, and pace.
Build courses, review learning records, and refine each iteration.
Coordinate teaching operations, access, data, and quality boundaries.
Ask, create, review, and complete guided tasks in natural language.
Use editors, dashboards, tables, evidence, and detailed configuration.
Current learner and course experiences · School workflows expand in phases
What AI‑Shifu Is
Teachers maintain one course design. AI‑Shifu adapts the teaching experience to each learner in real time.
Explanation · Pace · Practice · Language · Interaction
One course designUnlimited personalized learning experiences
How Learners Learn
The course follows a human-designed teaching plan while adapting the explanation to each learner.

How Learners Learn
Learning is active: answers, choices, inputs, and practice change what happens next.

How Learners Learn
The AI understands the current lesson, answers in context, and returns the learner to the course.

How Learners Learn
Learners can hear the lesson, complete interactive checkpoints, and ask contextual questions without leaving the course.



How Learners Learn
Built on an LLM foundation, AI‑Shifu adapts the teaching language automatically while preserving the same course design and objectives.
Maintain one set of knowledge, objectives, interactions, and teaching logic.
Understands the learner’s language and adapts the teaching experience automatically.
The course structure stays consistent while explanations and interactions switch naturally.
One course to maintain. Multiple languages to teach.
How Teachers Teach and Improve
Teachers can start with a conversation or write the Course Prompt directly in the AI‑Shifu editor.
Describe the objectives, attach materials, review the prepared outline, and confirm the draft.
Video
Write and refine the Teaching Prompt directly for more structured control over each lesson.

How Teachers Teach and Improve
Every learning interaction becomes teaching evidence: progress, answers, practice, questions, and learning history.
Where are learners struggling, and what evidence supports it?
AI‑Shifu brings together the relevant progress, questions, and practice records without changing any data.
How Teachers Teach and Improve
Each teaching cycle produces evidence. AI‑Shifu proposes targeted improvements, and the teacher approves every change before the next cycle begins.
Deliver the course to learners.
Capture progress, questions, and practice.
Identify issues and propose targeted changes.
Review, confirm, and begin the next cycle.
How Teachers Teach and Improve
The agent prepares the work, shows the impact, and asks for confirmation before anything changes.
Describe the routine teaching work in one message.
The agent gathers evidence and prepares the coordinated actions.
Review the impact and approve before any record changes.
How Schools Manage
Manage the work around teaching without separating it from the learning experience.
The Web workspace coordinates schedules, attendance, assessments, learner flags, and the next review handoffs.

How Schools Manage
The management interface brings together teaching data, organization, access, and operational records.

How AI‑Shifu Fits the Existing Environment
Teachers and school leaders complete routine work by conversation on mobile; the web opens when a task needs wider evidence or configuration.
Create, manage, ask, review evidence, and confirm from the phone.
Open wide dashboards, editors, tables, and policy configuration.
Connect through the school's existing digital entry point.
Extend approved conversational workflows into third-party tools.
Use the same account, skills, policies, and audit boundaries.
How AI‑Shifu Fits the Existing Environment
School data can connect with AI‑Shifu, while teachers and staff access its workflows through familiar communication channels.
Approved data flows connect AI‑Shifu with the school’s existing digital environment.
One connected teaching and operations layer
AI‑Shifu workflows can reach school teams through the collaboration tools they already use.
Integration scope, permissions, and available channels are defined with each school.
How AI‑Shifu Fits the Existing Environment
Run AI‑Shifu on premises, in the cloud, or across both environments.
AI‑Shifu runs inside the school’s own infrastructure and data boundary.
Use AI‑Shifu as a managed cloud service for a streamlined rollout.
Keep selected systems local while approved AI services run in the cloud.
Why AI‑Shifu
Higher participation for learners—and dramatically faster course creation for teachers.
Operational comparison
Why AI‑Shifu
A growing teaching network across learners, educators, courses, and follow-up questions.
Platform operations data · August 2026
Why AI‑Shifu
Two examples of how schools use AI‑Shifu to extend course support and learner practice.
Move procedural guidance online so classroom time can focus on practice, questions, and deeper application.
Respond to changing content and give learners differentiated exercises within a teacher-controlled design.
Why AI‑Shifu
Built by a team that understands how courses are designed, delivered, and improved.
Experience across digital learning products, operations, and adoption.
The learner and teacher experiences support structured teaching workflows.
The school solution can be shaped around school systems, policies, and priorities.
AI‑Shifu for School
Personalized teaching. Better decisions. One connected school experience.
Explore AI‑Shifu