Learn directly from the AI that coded it
AI education.
The AI that codes a software project understands it better than anyone. We taught that coding AI pedagogy — and built a curriculum where it teaches you directly. In the age of vibe coding, learn from an AI expert.
Government & Public Institutions (B2G)
Enterprise AI Training (B2B)
Educational Institutions (B2B)
Individual & Freelance Educators
Students & Parents [B2C Coming Soon]
AI Research Institutes
Trusted By
How Is It Built?
Three contexts are synthesized so AI can automatically generate the curriculum.
Analyze the Subject
AI directly analyzes the source — SW projects, textbooks, educational programs, academic papers. Domain doesn't matter.
Select the Teaching Method
Choose and combine from a pedagogy library — Socratic method, ITS hint ladders, and more — matched to the goal.
Reflect the Environment
Practice panel configuration (code editor, math graph, science simulation) and deployment mode are embedded into the curriculum.
How Does the AI Teacher Teach?
Not just an AI that answers. Pedagogy benchmarked from CS50P, Google ML, and Khanmigo — then redesigned for the AI age.
No direct answers
When code is wrong, the AI doesn't hand over the fix. It starts with "What do you think this code will do?" and leads the student to find the issue themselves. Modeled after Khanmigo and CS50.ai's AI tutor design — real dialogue, not Q&A.
4-level hint ladder
Stuck? Direction hint → concept hint → analogy → minimal explanation — in that order only, no skipping. Based on Intelligent Tutoring System (ITS) research showing that early answers reduce learning retention.
You're learning AI, not just Python
Built on CS50P's progressive scaffolding and Google ML Crash Course's applied examples. Every concept has an AI anchor: learn loops and you understand training epochs; learn functions and you understand AI pipelines.
Pedagogy is not fixed. Methods are selected and combined from a library to match the objective.
Platform Features
AI Teaches Directly
Not a Q&A bot. The AI teacher reads the curriculum, manages progress, and adapts to each student in real time.
Auto-Generated Curriculum
Change the source and a new curriculum is produced — no manual authoring required. When the source changes, the syllabus updates instantly.
Curriculum Plugin
From Python basics to Naia OS, OpenClaw, JiKiME ADK — your institution's curriculum can plug right in.
On-Premises Deployment
Air-gapped environments supported. Deploy on your own GPU servers for fully offline, self-contained operation.
Student Activity Logging
Code executions, AI questions, and progress are all logged. Measure educational outcomes with data-backed reports.
Per-Institution Customization
Customize the AI teacher's name, tone, and safety policy per client. Air-gapped deployments automatically enforce strict safety mode.
AI Context Export
Learning outcomes are exported as a structured context. External AI assistants (e.g., Naia OS) receive this context and continue supporting students in real work.
Omni Model AI Teacher
Integrated with Naia OS Omni model for multimodal teaching — voice, video, and immersive learning with a VRM avatar.
Considering a deployment?
Questions about curriculum integration, on-premises setup, or licensing? Reach out via email.