My Manus AI workflow used to be: think of task → write prompt → wait → repeat.
Now it's: think of task → Credit Optimizer handles the rest.
What Changed
1. Automatic Model Selection
Each prompt gets analyzed for complexity. Simple tasks go to Standard (70% cheaper), complex ones go to Max.
2. Context Hygiene
Unnecessary context is stripped before execution. Saves 10-30% on tokens.
3. Task Decomposition
Mixed prompts ("do X AND Y") get split into sub-tasks, each routed optimally.
4. Smart Testing
Uncertain tasks run on Standard first. Only escalate if quality check fails.
Results After 30 Days
| Metric | Result |
|---|---|
| Average savings | 62% |
| Quality maintained | 99.2% |
| Manual intervention | Zero |
The skill is free and open source: Credit Optimizer v5
How to Install
- Visit creditopt.ai
- Follow the installation guide
- Start saving immediately
No signup required. No data collected. Just savings.