TL;DR: Your SaaS monitoring tools don't work for AI agents. I know because I tried using them. The problem is fundamental: normal software crashes, but AI agents silently degrade. They make worse decisions, take longer, and cost more — and none of your existing alerts will catch it.
When you deploy a regular service, you monitor uptime, error rates, and latency. If any of those spike, something is wrong. You investigate, fix, deploy. Done.
AI agents don't work like that. An agent can be running perfectly — all systems green, zero errors — while producing garbage output. It can take the right amount of time to answer and still give the wrong answer. It can call the right tools in the wrong order.
The result is always the same: the agent works great in the demo. Then it runs for three days in production, degrades slowly, and by the time anyone notices, it's been costing 40% more than it should for a week.
1. Is the agent making choices that align with your business rules? The only way to measure this is to sample decisions and rate them. You can't automate this entirely, but you can set up a process that takes five minutes a day.
2. Token tracking misses the point. What matters is how much each completed task costs. If an agent takes ten steps to do something that should take three, the cost problem isn't the token price. It's the architecture.
3. Compare this week's agent behavior to last week's. Response patterns changing? Tool choices shifting? Cost trending up? These are early warnings that something needs attention — long before anything breaks.
Don't build agents that operate in the dark. Every agent needs:
- A trace of every step it took and why
- A log of every tool call and its result
- A cost ledger per task
- A human review loop for high-stakes decisions
If your agent can't produce those four things, it's not ready for production. No matter how impressive the demo is.
*We build the operations layer for AI agents at [Ataraxium](https://ataraxium.ai). The free [scorecard](https://ataraxium.ai/scorecard.html) shows where your ops stand in 2 minutes.*