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S.T.A.G.E.S.

Student–Teacher Artificial-Intelligence General Education System

STAGES is an open-source, privacy-first AI education platform designed to amplify teachers, personalize learning for every student, and eliminate AI hallucinations through a deterministic fact-grounding engine.
It can be deployed on a school’s existing servers, on a teacher’s home machine, or in the cloud, and is architected for maximum flexibility, transparency, and autonomy.


STAGES does not replace teachers.
It empowers them!


Table of Contents

  1. What Is STAGES?
  2. Design Principles
  3. System Architecture
  4. How STAGES Works
  5. Deployment Options
  6. Installation
  7. Security & Privacy Model
  8. Benefits for Schools
  9. Benefits for Humanity
  10. How Corporations Can Build On This
  11. Status & Roadmap
  12. License

What Is STAGES?

S.T.A.G.E.S. (Student–Teacher Artificial-Intelligence General Education System) is a hybrid human+AI classroom engine that allows:

  • Teachers to guide AI-driven individualized tutoring by providing lessons for the AI to teach
  • Students to learn at their own pace with adaptive explanations
  • Schools to retain full data sovereignty
  • AI to serve as an way to answer questions and provide 1-on-1 learning on whatever subjects and material teachers provide, not a self-driven system that teaches the entire class on its own.

Traditional AI tutoring suffers from hallucinations, privacy risks, and lack of alignment with actual teachers.
STAGES solves this by combining:

  • A teacher-directed AI reasoning layer
  • A deterministic fact-checking module
  • Encrypted, local-first student profiles
  • Simple one-file deployment (AGENTS.md)

Design Principles

1. Teacher-Centered
Teachers define curriculum, pacing, tone, correction, and intervention.
STAGES amplifies human pedagogy rather than replacing it.

2. Student-Personalized
Each student receives individualized lessons based on their learning preferences and cognitive patterns.

3. Fact-Grounded (Zero Hallucination)
All AI answers are validated against a structured fact database and curriculum embeddings before delivery.

4. Privacy-First (Client-Side Encryption)
Student profiles are fully encrypted on device.
The server stores student data locally, no interaction with third party providers (besides LLM provider for AI). No student information leaves the school's systems, LLM requests are forwarded from backend so the students are never exposed to third party providers.

5. Modular & Open Source
Schools can self-host, modify, extend, or integrate with existing platforms.
Corporations can build new layers on top of STAGES.

6. Lightweight & Flexible
Requires only text-only API calls.
Runs on campus servers, teacher laptops, small VPS units, or major cloud providers.


System Architecture

STAGES consists of four core components:

1. Teacher Dashboard

  • Create classes
  • Upload lesson plans
  • Adjust tone/style
  • Intervene in AI sessions
  • Monitor progress
  • Issue recovery/sync URLs

2. Student Tutor Portal

  • AI-assisted learning
  • Personalized explanations
  • Adaptive examples and analogies
  • Encrypted learning profile

3. Fact-Grounding Engine

  • SQL curriculum store
  • Deterministic fact lookup
  • Verification agent cross-checking
  • Prevents hallucinated concepts or incorrect reasoning

4. Codex Deployment Engine

  • Reads AGENTS.md
  • Configures backend, encryption, routing
  • Deploys entire system with one command:

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S.T.A.G.E.S. - Student Teacher Artificial-Intelligence General Education System

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