Blog.
How to build a software factory that tests its own prompts
A small software factory that turns GitHub issues into released code, traces every station to Arize AX, and…
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Can decision models play games from screenshots?
Decision models return a probability for each option in a fixed list. We tested whether image-capable decision models…
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Why Anthropic replaced Git, and whether you’ll need to
Anthropic built Scion for an enormous monorepo handling more than 30,000 daily merges. Most teams can keep using…
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Agent tool selection: The tool your agent almost called
Decision spans in Arize Phoenix record a tool router’s choice, alternative probabilities, and confidence. Here’s how we evaluated…
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Alyx now available on Google Cloud Marketplace
We’re excited to share that Alyx, the AI engineering agent built into Arize AX, is now available on…
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AI agent permissions: Why agents don’t know what you’re allowed to do
AI agent permissions determine what an agent is allowed to do on someone’s behalf. As agents get more…
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EU AI Act compliance for AI agents: a practical engineering guide
Learn how agent traces, human oversight, production evaluations, and log retention support EU AI Act compliance with a…
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Does being rude to AI work? What 6 models revealed
Does being rude to AI improve answers or lower costs? We tested six models to separate prompt tone…
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Together AI integration: Evaluate open models and optimize evaluation costs in Arize AX
Evaluate open models with Together AI in Arize AX. Compare model performance, run LLM-as-a-Judge evaluations, and explore lower-cost…
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How to test agent tool descriptions with Harbor and Phoenix
Build a reproducible benchmark, compare tool use across agents, and test whether a description change reduces unnecessary work…
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Alignment is a human-AI workflow: how Custom Views make agent review possible
Automated evals can score every agent session, but they do not automatically reflect what your team considers a…
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Cost Agent: find where your LLM and agent spend goes with your traces
AI costs don’t always scale predictably with traffic. A retry loop, oversized context window, or unnecessarily expensive model…
Read the postDon’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.
