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+# TinyTorch Modules Directory
+
+This directory contains student-facing Jupyter notebooks for learning ML systems from scratch.
+
+## 📦 Module Structure
+
+Each module directory contains:
+- `{module}_dev.py` - Jupytext Python file (source of truth)
+- `{module}.ipynb` - Jupyter notebook (auto-generated)
+- `README.md` - Module overview and learning objectives
+
+## 🔄 How Modules Are Created
+
+Modules are **automatically exported from `src/`** using the following workflow:
+
+1. **Source notebooks** live in `src/{module}/` as `.ipynb` files
+2. **Run export**: `tito system export {module}` or `nbdev_export`
+3. **Auto-generated files** appear in `modules/{module}/`
+
+The `src/` directory is where development happens. The `modules/` directory is what students use.
+
+## 📚 Available Modules
+
+Modules will be populated as you complete the TinyTorch learning path:
+
+- ✅ `01_tensor` - Tensor fundamentals and operations
+- ✅ `02_activations` - Activation functions (ReLU, Sigmoid, etc.)
+- ✅ `04_losses` - Loss functions for training
+- ✅ `06_optimizers` - Optimization algorithms (SGD, Adam, etc.)
+- 🔒 Additional modules unlock as you progress...
+
+## 🚀 Getting Started
+
+1. **Check module status**: `tito module status`
+2. **Start a module**: `tito module start 01`
+3. **Work on the module**: Opens Jupyter Lab automatically
+4. **Complete the module**: `tito module complete 01`
+
+Each module builds on previous ones, creating a complete ML framework from scratch!