💻 Token Savings in Production AI Systems
To transition from an AI demo to scalable solutions, it is recommended to separate tasks into those requiring LLM judgment and those that can be solved with deterministic logic. This can reduce costs by 80-90%.
🌍 Moving to hybrid architectures allows companies to scale AI functionality while maintaining predictability in costs and latency, and adhering to governance requirements.
👤 Understanding the difference between tasks for LLMs and classical code helps in designing inexpensive systems, avoiding the "agent trap," where every single step is processed by a neural network.
Source 1: https://unmeshed.io/blog/bringing-ai-workflow-into-production-without-burning-tokens