CHAPTER 11: MINIMUM VIABLE PRODUCT (MVP) DOCUMENTATION AND AI SYSTEM CLARIFICATION
11.1 Chapter Introduction
This chapter defines the Minimum Viable Product (MVP) for the Intelligent Learning Management System (ILMS). The MVP represents the first production-intended release, built upon insights gained from the prototype phase.
In addition, this chapter explicitly clarifies the role of Artificial Intelligence (AI) within the system, addressing potential ambiguity and ensuring the AI design is accurately understood, scoped, and defensible.
11.2 Purpose of the MVP
The MVP exists to:
The MVP is not experimental; it is operationally stable but intentionally limited in scope.
11.3 MVP Scope Definition
11.3.1 Core Features Included
The MVP includes:
11.3.2 Features Deferred Beyond MVP
Deferred features include:
11.4 System Architecture at MVP Stage
The MVP architecture maintains:
Prototype shortcuts are removed, and data persistence is enforced.
11.5 AI System Clarification
11.5.1 Is the ILMS an AI System?
Yes — the ILMS contains AI-assisted components, but it is not a fully autonomous AI system.
The system uses controlled, narrow AI techniques to support analysis and decision assistance, not seen as replacing human judgment.
11.5.2 Where AI Is Used
AI is applied in the following areas:
These components operate on historical and real-time academic data.
11.5.3 Where AI Is NOT Used
AI does not:
Human authority remains central.
11.6 AI Design Philosophy
The AI system follows these principles:
Black-box decision-making is explicitly avoided.
11.7 Skill DNA as an AI-Assisted Module
Skill DNA uses:
This qualifies as augmented intelligence, not general AI.
11.8 Data Requirements for MVP AI Components
Required data includes:
No biometric or sensitive personal data is used.
11.9 Performance Expectations
The MVP is expected to support:
11.10 Governance and Control
AI outputs are:
Institutional policies override all analytics.
11.11 MVP Validation Criteria
Success metrics include:
11.12 Transition Beyond MVP
Post-MVP development may introduce:
These are conditional on governance approval.
11.13 Chapter Summary
This chapter defined the MVP scope, clarified production readiness, and explicitly explained the AI role within the ILMS. The system is AI-assisted, ethically constrained, and human-governed, making it suitable for real-world academic deployment.