Arize AI

@arizeai

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

San Francisco, CA

Arize AI
@arizeai
13h
Did you know LLM-as-a-judge works for multi-modal as well as text? We've just released a hands-on guide with a video walkthrough that shows you how to build an evaluator for images.
Evaluate Receipt Agents with an Image Judge - Arize AX Docs
From arize.com
Arize AI
@arizeai
Sep 1
Token dashboards tell you what you spent. They don't tell you if quality moved. ICYMI from Cost Alongside Quality: we showed how Arize AX puts cost next to evals across coding agents and shipped apps, and how a managed agent investigates a spend spike. Resources below 🧵
6
Arize AI
@arizeai
Aug 27
Cost Alongside Quality: Proving the ROI of Your Coding Agents and AI Apps
Arize AI
@arizeai
Aug 27
If your agent needs 85 MCP turns to answer a SQL-shaped question, the problem may be the interface you gave it. Retrieval is great when a coding agent needs to inspect a few traces. It gets clumsy when the task is really about counting, filtering, joining, or aggregating across
7
Arize AI
@arizeai
Aug 25
Better models don’t fix every agent failure. As models get more capable, the engineering around them matters even more: context, prompts, evals, feedback loops, and the way you measure the agent’s behavior. We spoke with @stuart__sy from @OpenAI about what developers should
00:00
4