This article provides a comprehensive, full-stack guide to reducing token costs in AI applications by over 90%. It covers strategies across user behavior, agent design, and system architecture, drawing on real-world practices from large tech companies. The post is highly actionable for teams scaling AI systems, offering practical tips and architectural patterns to minimize token usage without sacrificing performance. The signal is timely and commercially valuable for any organization deploying AI at scale.
This article presents a full-stack approach to reducing token costs in AI applications by over 90%, covering user behavior, agent design, and system architecture.