Building a Context Engine for AI Agents: Reducing Token Consumption and Improving Accuracy
AI DEVELOPMENT
By Arshia Kahani · Originally published on FlowHunt.
A guide to giving AI agents the right information at the right time without filling their context with unnecessary data. This article introduces the context engine as an intermediary that aggregates, indexes, and serves relevant information. It explores how curated context can improve accuracy while reducing token consumption, and what that means for the architecture and operating costs of AI systems.