Energy efficient AI model routing sends each prompt to the smallest model that can answer it, cutting energy per query 60% to 85% with the same output.

AI prompt classification sorts every prompt into a task category in milliseconds, so the orchestrator picks the right model before you notice it happened.

Persistent AI memory lets a chat remember you across sessions and models. We rebuilt ours by deleting the vector search, and retrieval got more accurate.

LLM streaming latency is judged by time to first token, not total time. Here is the buffer that makes ChatFuse feel fast even when the model is slow.

One AI platform for consumer and enterprise runs both on the same orchestration, memory, and security. Only the configuration changes, not the architecture.

AI model orchestration routes every prompt to the best AI model automatically. Here is how ChatFuse decides, prices it, and handles fallback.