Claude Sonnet 5.5 prompts grow token usage

The author explains how AI applications rapidly accumulate large token counts due to system prompts, tool definitions, growing conversation histories, and reasoning traces that are resent with every request. Without caching or compaction, these growing inputs quickly increase costs and hit context limits. The article demystifies how agentic workflows handle context windows and why users experience unexpectedly high token consumption. Open article →