When you build an AI system for marketing performance monitoring, one tempting idea is to let the LLM decide everything.
Campaign pacing is off.
Creative frequency is too high.
A product category is spending inefficiently.
So the natural thought is:
In AI monitoring systems, not every decision belongs to the LLM. Some decisions should stay deterministic.
When you build an AI system for marketing performance monitoring, one tempting idea is to let the LLM decide everything.
Campaign pacing is off.
Creative frequency is too high.
A product category is spending inefficiently.
So the natural thought is:

I use an LLM on every contract I review. I also assume it is lying to me until I prove...

CostGuard's proxy endpoint makes an autonomous decision on every LLM call that passes through it. It...

I. The Expensive if/else Statement LLMs are remarkably good at handling the unknown. Give...

How to make LLMs deterministic, in plain English. The version I share with founders and product teams...

An honest look at applying control theory to LLM agent monitoring. What the growth-ratio insight solves, where max_iterations is…

If you're building an AI agent that touches dates — booking flows, scheduling bots, "remind me on...