henryxv/study-platform

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README

Systemizer

The High-Fidelity Study Platform for Engineers. Stop analyzing how to study. Just study.

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The Problem: "Analysis Paralysis"

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.

The Solution

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).


The 3-Step Flow

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.

Tech Stack (The "Boring" Stack)

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

Getting Started

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:

    git clone https://github.com/yourusername/study-platform.git
    cd study-platform
    
  2. Install dependencies:

    npm install
    # or
    npm ci
    
  3. Set up Environment:

    cp .env.example .env
    # Fill in DATABASE_URL, CLERK_KEYS, and AI_KEYS
    
  4. Run Database Migrations:

    npx prisma migrate dev
    
  5. Start the Development Server:

    npm run dev
    

Architecture

For a deep dive into the engineering principles, see docs/ARCHITECTURE.md.

Publisher

henryxvhenryxv

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CreatedJan 15, 2026