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:
The three questions I use to decide what stays deterministic Part 2 of an ongoing experiment:...
If you've ever handed the decision‑making about what your AI agent can and cannot do to a large...
TL;DR: I originally treated deterministic boundaries around LLMs as a consistency mechanism. I now...
Most of the "AI for observability" work I see right now hands the language model the judgment. I...
Before writing any LLM logic, define your evaluation step. Here's how evals catch bad outputs early on production systems.
AI-agent testing often starts with an expensive loop: call the agent, send its answer to another...
