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The post surfaces three concrete failure modes — blind element targeting, compounding prompt costs, and runaway agent loops — and provides working code patterns that address each, filling gaps that most browser automation tutorials leave open.
The post's detailed break-even tables make concrete when each TTL tier actually reduces costs versus increases them, giving developers a practical framework for deciding which TTL to use based on their request frequency.
The bug causes users running multi-step Claude Code sessions to be charged at the 1.25x cache-write rate for dozens of full-context rewrites of identical content, rapidly exhausting the 5-hour usage window in minutes rather than hours.
Developers building production agents can use this real-world cost breakdown and the critical cache TTL discovery to optimize API spending, avoid silent cost increases, and make informed decisions about model selection and local vs. cloud infrastructure.