AI agents are getting cheaper per-token, but total costs are rising. Here's why:
The Paradox
As AI gets better, we use it for more things. My Manus AI usage went from 50 tasks/month to 200+ in 3 months. Even with lower per-task costs, my bill tripled.
Where Money Leaks
- Over-routing: Using premium models for simple tasks
- Context bloat: Sending unnecessary info in every prompt
- Redundant iterations: Not caching or reusing results
- Mixed tasks: Bundling simple+complex work together
The Solution
The solution isn't using AI less — it's using it smarter. Intelligent routing (matching task complexity to model capability) is the biggest lever.
For Manus AI specifically, I built Credit Optimizer to automate this. But the principles apply to any AI agent:
- Audit your usage — most people don't know where their credits go
- Route intelligently — match model power to task complexity
- Clean your context — less input = less cost, often same quality
- Decompose mixed tasks — let simple parts run cheap
Credit Optimizer v5 is free and open source at creditopt.ai
Top comments (0)