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Description
Overview
Create comprehensive documentation and examples showcasing the power of local AI workflows with Pixeltable + Claude.
Deliverables
- Interactive Tutorial: Step-by-step walkthrough for new users
- Use Case Examples: Real-world scenarios and solutions
- Video Screencast: Demo for Pixeltable team and Anthropic
- API Reference: Complete function documentation
- Best Practices Guide: Performance tips and optimization
Example Scenarios to Document
πΈ Computer Vision Workflows
- Photo organization with YOLOX object detection
- Batch image analysis and tagging
- Visual search and similarity matching
π΅ Audio Processing Pipelines
- Podcast transcription and summarization
- Audio content analysis and indexing
- Multi-language audio processing
π Document Intelligence
- PDF parsing and semantic search
- Document classification and routing
- Knowledge extraction workflows
π€ Multi-Model AI Orchestration
- Local LLM comparison and selection
- Vision + language model combinations
- Embedding generation and similarity search
Technical Documentation Needs
- MCP protocol integration details
- Pixeltable function reference
- Local AI model configuration
- Performance benchmarking results
- Troubleshooting guide
Community Building
- Contributing guidelines
- Issue templates
- Discussion forum setup
- Example project gallery
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