Arize AI (@arizeai) / X

Arize AI

1,741 posts

Arize AI

@arizeai

The AI engineering platform for teams shipping reliable AI agents and LLM applications. Also home to @ArizePhoenix.

San Francisco, CA

Joined January 2020

Affiliates Replies Media

Arize AI
@arizeai
Jul 31
Enterprise AI succeeds when teams can turn a promising demo into a reliable production system that delivers measurable business value. At Arize Observe, @CVSHealth shared how evaluation, observability, governance, and reusable engineering practices help organizations move beyond
Arize AI
@arizeai
Jul 30
@HamelHusain keeps stopping eval reviews for the same reason: the model isn't broken, but the product is. In part 2 of our series Rise of the Agent Engineer, Hamel walks through why ambiguous inputs, generic metrics, and disconnected reviews make AI evaluations misleading, and
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Arize AI
@arizeai
Jul 29
What if your agents got better every time they failed? Today, we’re launching Signal. It continuously reviews production traces, finds issues, and turns them into an investigation with evidence, root cause, and a proposed fix. Your engineers decide what ships. Signal gets them
Arize AI
@arizeai
Jul 29
Arize + @FireworksAI_HQ traced 2,400 agent runs across K3, GPT-5.5, and 8 more models to measure cost per successful task and test routing strategies. The big lesson? Per-token pricing leaves retries, tool failures, and unfinished runs outside the headline number. Join the live
GPT-5.5, Kimi K3, and 8 More Models: The Real Cost of AI Work · Luma
From luma.com
Arize AI
@arizeai
Jul 28
The AI industry has a benchmark addiction & an observability problem. 9 points is the kind of delta that gets pasted into a deck before anyone asks what actually moved. Marius Bulandrea from @AnthropicAI shares why you should read the transcripts and how to build evals you can
AI agent evaluation: Tips from Anthropic on building evals you can trust
From arize.com
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