Blog — page 3.
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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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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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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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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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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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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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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How to find and debug agent failures your evals are missing
Evals measure failures you know how to name. Arize Signal continuously reviews production traces to find recurring trajectory…
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AI agent regression testing with Agent Experiments in Arize AX
A cancellation-policy fix raised action safety and dropped average task completion from 0.89 to 0.72. This walkthrough shows…
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Code mode: Why your agent should code
Code mode gives an agent a sandbox instead of a longer tool list. Here is why it fixes…
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How I cut coding agent costs with model and harness routing
By routing planning, exploration, implementation, and review to different models, I reduced one recurring coding-agent workflow from roughly…
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How Coinbase Wallet built an agent-first product development lifecycle
By redesigning planning, validation, and risk review around AI agents, Coinbase Wallet dramatically shortened the path from product…
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Arize gives AI teams observability and evals to understand and improve agent performance.
