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## Documentation Consistency - Fix module count: All docs now correctly show 20 modules (01-20) - Update Optimization Tier: Modules 14-20 (added 19 Benchmarking, 20 Competition) - Correct tier descriptions across student-workflow, learning-progress, classroom-use ## New Documentation - **FAQ (site/faq.md)**: Comprehensive FAQ addressing: - Why TinyTorch vs PyTorch/TensorFlow direct usage - Why TinyTorch vs micrograd/nanoGPT - Who should use TinyTorch - Course structure and flexibility - Practical getting started questions - **Datasets (site/datasets.md)**: Complete dataset documentation: - Ship-with-repo datasets (TinyDigits 310KB, TinyTalks 40KB) - Downloaded datasets (MNIST 10MB, CIFAR-10 170MB) - Design philosophy and rationale - Usage instructions per milestone - **Release Checklist (DECEMBER_2024_RELEASE.md)**: - Comprehensive pre-launch checklist - Documentation, technical, community preparation tasks - Version recommendation: v0.9.0 - Success metrics and launch timeline ## Module Count Corrections - learning-progress.md: 18→20 modules, added Benchmarking & Competition to table - student-workflow.md: 18→20 modules, updated Optimization tier description - classroom-use.md: 18→20 modules in feature list ## Version Recommendation Proposed **v0.9.0** for December 2024 release: - Signals feature-complete for individual learners - Reserves v1.0 for classroom integration (Spring 2025) - Allows v0.9.x patches for post-launch refinements [Claude Code](https://claude.com/claude-code)