Why AI Costs Are Quietly Killing Most Agent Projects

Most people building AI agents focus on performance;

But ignore the biggest problem until it’s too late, which is cost.

Here’s the reality:

Every request an agent makes costs money.

And if everything runs on expensive models by default, your system becomes unsustainable very fast.

This is where most projects fail.

Not because the idea is bad,

but because the infrastructure isn’t efficient.

That’s why the concept of smart LLM routing is starting to matter more.

Instead of using one model for everything, requests are routed based on complexity;
cheap tasks go to cheaper models, complex ones go to stronger models.

Simple idea… but huge impact.

Projects like BlockRun AI, through tools like ClawRouter, are already pushing this approach of making AI agents more efficient and scalable.

I won’t go too deep here, but this breakdown explains it really well 👇

👉 https://blockrun.ai/signal/smart-llm-router

If you're building or exploring AI agents, this is something you shouldn’t ignore.