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Step 1: Concept & Design
1. The Problem: The “One-to-Many” Dilemma
In a typical classroom, one teacher manages 20-30 students. It is physically impossible to:
- Remind every student individually about their missing homework.
- Notice immediately when a specific student’s grade drops slightly.
- Listen to the private concerns of every shy student.
2. The Solution: The AI Co-Pilot
We don’t want to replace the teacher. We want to give the teacher a “Secretary” or “Co-Pilot” that handles the repetitive logistics and monitoring.
The Role of the Agent
- The Secretary (Teacher-facing): Takes quick commands (“Schedule class”, “Remind everyone”).
- The Guardian (Student-facing): Watches over student progress and sends help when needed.
- The Bridge: Allows students to speak anonymously to the teacher.
3. Architecture Design
Before writing code, we must design the system components.
graph TD
Teacher -- "Natural Language" --> AgentCore
Student -- "DM/Feedback" --> AgentCore
subgraph "The Agent"
AgentCore[Logic Core (Brain)]
Database[(SQLite Memory)]
Monitor[Daily Monitor Loop]
end
AgentCore -- "Read/Write" --> Database
Monitor -- "Check Status" --> Database
Monitor -- "Send Email" --> EmailService
AgentCore -- "Reply" --> DiscordBot
Key Components
- Memory (Database): Where do we store the list of students and the schedule?
- Brain (Agent Core): How do we understand “Add student Alice”?
- Mouth (Interfaces): How does the agent talk? (Discord, Email, CLI).
4. Design Decisions
- Why Python?: Easy to write, huge ecosystem for AI and APIs.
- Why SQLite?: Simple file-based database, perfect for learning and prototypes.
- Why Discord?: Teachers and students are already there. It supports real-time chat and private DMs.