Tag: performance
Cache the prompt, not the response - why most LLM caching fails
Your LLM API bills are eating your budget because you are caching the wrong thing. Most teams cache responses when they should cache prompts. Prompt caching reuses processed context instead of reprocessing it every call, so cache reads cost a small fraction of the standard rate. Anthropic reports up to 90% off.
Real-time AI streaming - perception beats technical perfection
Most companies over-engineer real-time AI systems by focusing on technical latency instead of user perception. Research by Jakob Nielsen confirms the difference between 50ms and 200ms response time rarely matters to users, but infrastructure complexity differs enormously. Here is how to build streaming AI that feels instant without breaking budget constraints.