Agent Tracing: Production Run Accountability

Agent tracing is how you stop guessing.

A useful trace answers:

Which agent and tools ran
Inputs/outputs at tool boundaries (with redaction discipline)
Failures and retries
Cost signals (tokens, time)

Tracing vs marketing dashboards

A green "uptime" tile is not tracing. Structured run metadata is. Production agent platforms are rediscovering this the hard way—scout runs without self-reported facts cannot answer "did this file feedback?"

Pair with token usage

Traces tell quality story; token usage tells money story. You need both for an AI-native company.

jurniti ships an advisory BYOK token meter alongside agent hosts: Token usage.

Full course

Tracing is the observability chapter of a larger OS:

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No free trial of compute. Email course is free. First purchase: 30-day money-back.

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Frequently asked questions

What is agent tracing?

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.