📄 中文摘要
在使用 Manus AI 一周后，许多用户会发现自己的信用余额迅速减少，尤其是在处理未成功的任务时。通过对 30 天内 847 个任务的分析，发现了信用消耗的主要来源。基于这些数据，构建了一个系统，将每月的有效支出从约 39 美元降低到 15-20 美元，同时保持相同的输出质量。这一过程揭示了如何更有效地管理和优化信用使用，避免不必要的支出。
如何构建一个信用路由层，为我在 Manus AI 上节省了每月 20 美元
出处: How I Built a Credit Routing Layer That Saved Me $20/month on Manus AI
发布: 2026年3月19日
📄 English Summary
How I Built a Credit Routing Layer That Saved Me $20/month on Manus AI
After using Manus AI for over a week, many users experience a rapid depletion of their credit balance, particularly from unsuccessful tasks. An analysis of 847 tasks over 30 days revealed the primary sources of credit consumption. Based on these insights, a system was developed that reduced effective monthly spending from approximately $39 to about $15-20 while maintaining the same output quality. This process highlights how to manage and optimize credit usage more effectively, avoiding unnecessary expenses.