Documentation
Learn how to optimize your AI costs and performance with step-by-step implementation guides.
Implementation Guides
Practical, step-by-step guides to help you implement cost-saving and performance-optimizing strategies for your AI applications.
🔄
Edge Proxy
Implement request routing & load balancing for AI APIs
⏱️ 2-4 hours⭐ Intermediate💰 $500-2,000/month
⚡
Circuit Breakers
Prevent cascading failures and reduce costs during outages
⏱️ 2-3 hours⭐ Intermediate💰 $200-1,000/month
💾
Semantic Caching
Cache similar queries to reduce API costs by up to 80%
⏱️ 4-6 hours⭐ Advanced💰 $1,000-5,000/month
💡
Model Switching
Route different tasks to cost-optimized models
⏱️ 2-4 hours⭐ Beginner💰 50% savings
📦
Prompt Compression
Reduce token usage by 30-50% without losing quality
⏱️ 3-5 hours⭐ Intermediate💰 $300-1,500/month
🚀
Response Streaming
Make your AI feel 50x faster with zero cost increase
⏱️ 1-2 hours⭐ Beginner💰 UX boost
📊
Batch Processing
Process multiple requests together to reduce costs by 50%
⏱️ 3-4 hours⭐ Intermediate💰 $500-2,500/month