AI Agent Monitoring: Cost, Health, Honesty

AI agent monitoring is the weekly ops question:

Which agents are healthy?
Which are burning tokens?
Which failed silently?

If you cannot answer by Monday, you do not have a fleet. You have experiments.

Three panels

Health — up, degraded, down
Cost — model tokens by agent/model (BYOK honesty)
Quality — traces, golden tasks after prompt changes

Built-in vs bolt-on

Rebuild monitoring per project and you will skip it under pressure. Prefer host-level meters + plugin-class observability.

jurniti: advisory token usage on the fleet and per agent (docs), plus isolation for always-on hosts.

Course

Monitoring is day-three energy in the AI-native company series:

Get the free AI-native company course

No free trial. 30-day money-back on first purchase.

Enroll in the 7-day series

Frequently asked questions

What is ai agent monitoring?

A practical building block of an AI-native company operating system—how you run agents that create value with ownership, isolation, and cost honesty—not a chat widget alone.

How does this relate to building an AI-native company?

Fleets, observability, memory, channels, and plugins are the OS. This topic is one pillar; the free 7-day course walks all five and soft-introduces managed microVM hosts.

What is the free AI-native company course?

A 7-day email series on fleets, observability (including token usage), memory, communication, and plugins—with optional soft jurniti CTA and no free trial of compute.

Does jurniti charge for model tokens?

No. jurniti is BYOK: you bring keys. Token usage is an advisory meter for spend transparency, not a token resale or free tier.

Is there a free trial?

No free trial or free tier. The email course is free. First paid purchase has a 30-day money-back guarantee.

Where do I start?

Read this post, then enroll in the AI-native company course for a paced OS checklist that CTAs from every cluster post.