next-project-structure

Most study tools are too flexible. They ask "What do you want to do?" which triggers decision fatigue. For the "Systemizer" personality type, this leads to:

• Hoarding: Saving 100 PDFs but reading zero.
• Review Debt: Seeing "500 cards due" and quitting immediately.
• Imposter Syndrome: Fearing that "easy" flashcards aren't proving real competence.

Systemizer is an opinionated platform that enforces a strict "Ingest -> Atomize -> Interrogate" workflow. It uses AI not to summarize (which is passive), but to chunk concepts and test you on them (active recall).

---

1. The Warehouse (Ingestion)

• Zero-Friction Capture: Paste code, upload PDFs, or dump raw notes.
• "Unprocessed" State: Content lands in a staging area. You don't need to tag it yet. Just get it out of your browser tabs.

2. The Factory (Atomization)

• AI-Assisted Chunking: The "Analyzer Agent" splits large documents into atomic Study Units.
• Strict Types: Units are classified as TEXT (Theory) or CODE (Syntax).
• Visual Logic: The UI separates the "Drafting" phase from the "Studying" phase.

3. The Drill (Interrogation)

• Active Recall: We generate 3 types of questions per unit:

1. Multiple Choice: With plausible distractors.

2. Cloze Deletion: For memorizing syntax.

3. Code Scenarios: Execute code in a real Monaco Editor.

• Banca Profiles: Practice with question styles from Brazilian exam boards (FGV, CESPE, VUNESP, FCC, CESGRANRIO).
• Deterministic Scheduling: A custom SM-2 algorithm manages your review intervals.
• Export: Download your study units as JSON, TXT, or CSV for offline use.

---

We use a Type-Safe, production-grade stack to ensure reliability.

• Framework: Next.js 16 (App Router)
• Database: PostgreSQL + Prisma + pgvector (RAG-enabled)
• Auth: Clerk (Lazy Creation Pattern)
• AI: Gemini (2.0/2.5/3 Flash) + Voyage 3.5 Embeddings
• Payments: Asaas (Brazilian Pix Gateway)
• Styling: Tailwind CSS + shadcn/ui

Prerequisites

• Node.js 20+
• PostgreSQL Database with pgvector extension (Local or Supabase)
• Clerk Account (Auth)
• Google AI API Key (Gemini models)
• Voyage API Key (Embeddings)
• Asaas API Key (Payments - optional for dev)

Installation

1. Clone the repo:

```bash

git clone https://github.com/yourusername/study-platform.git

cd study-platform

```

1. Install dependencies:

```bash

npm install

# or

npm ci

```

1. Set up Environment:

```bash

cp .env.example .env

# Fill in DATABASE_URL, CLERK_KEYS, and AI_KEYS

```

1. Run Database Migrations:

```bash

npx prisma migrate dev

```

1. Start the Development Server:

```bash

npm run dev

```

For a deep dive into the engineering principles, see [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md).