All resources

Everything we’ve published — page 4.

Blog

How we built UI Code Mode into Arize Phoenix

We replaced the 58 tools PXI used to drive the Phoenix UI with two tools and a JavaScript…

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Case Studies

How Atropos Health uses Arize AX for LLM observability in medical research

Principal Data Scientist Rebecca Hyde on moving beyond “good enough” AI and building a measurement framework for LLM-generated…

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Blog

How to build a remote evaluator in Arize AX with Jev

Evaluate agent responses with Jev and Arize AX. Build a FastAPI remote evaluator, return labels and scores, and…

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Blog

Jev vs. LLM-as-a-Judge: Accuracy and cost benchmarks

We benchmarked Jev against Claude Opus 5 and GPT-5.6 Terra on accuracy, cost, and latency. Learn how threshold…

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Guide

How to choose an AI observability platform

Learn how to choose an AI observability platform in 2026, with evaluation criteria for tracing, evals, monitoring, pricing…

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Blog

Real-time LLM guardrails with Jev: comparing latency and cost

Compare Jev and GPT-5.4 nano for real-time LLM guardrails, with demo results on latency, cost, and checks on…

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Blog

What changes when AI agents use your software

Daytona cofounder Ivan Burazin wants agents that can finish the job within the authority they have been given.…

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Guide

EvalOps: How to build AI evaluation release gates

Learn how to turn AI evaluations into release gates with a worked agent example, ship/review/hold criteria, and a…

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Blog

Arize AX in September 2026: first-class sessions, Agent-as-a-Judge, and vision evals

Sessions are now a first-class unit of work in Arize AX. Annotate a whole conversation, queue it for…

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Guide

How to evaluate whether your AI agents are actually improving

Measure AI agent improvement with task completion, cost per completed task, regression checks, and consistent before-and-after evaluations.

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Blog

TypeSafe’s Jev: Can decision models replace LLM judges?

TypeSafe’s Jev classifies, scores, and routes without generating text — up to hundreds of times cheaper than an…

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Papers

AI governance in banking: How to scale AI agents

Banking agents can fail in ways that error dashboards miss: a credit memo cites the wrong figure, an…

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Don’t ship vibes.

Arize gives AI teams observability and evals to understand and improve agent performance.