Token Economics
How Token Economics Works in Production
LLM pricing and rate limits are metered by tokens (approximately 0.75 words in English). High-volume production systems require continuous token governance: applying semantic caching, dynamic prompt compression, batching asynchronous jobs, and routing basic requests to fast small language models (SLMs) while reserving expensive frontier models for multi-step reasoning.
Practical Enterprise Workflow
By placing a Redis semantic cache in front of a customer service bot, 42% of frequent queries resolve in under 15ms at $0 token cost, slashing monthly cloud inference expenditure.
Related Engineering Practices
Related Glossary Terms
About Aurevion AI
Custom AI systems, private RAG architectures, and sovereign software development for growing engineering teams.
Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.