Pat at Arize

[Arize AI @arizeai]

Most agent projects don’t fail because the AI isn’t ready.

They fail because only a handful of people are allowed to build them.

The companies seeing true and successful agent adoption are taking a different approach: let the people closest to the work automate it, with IT and infosec in full control of governance and guardrails.

@joaomdmoura, CEO + Founder of @crewAIInc, will be talking about how companies can truly adopt agents at scale at Observe this Thursday.

Grab your ticket.
June 4th.
Arize Observe.
https://t.co/NYEih97lij

[Aparna Dhinakaran @aparnadhinak]

https://t.co/CXxFy1lzzF

[Pat at Arize @patatarize]

https://t.co/eDTLzJwTXl

[Pat at Arize @patatarize]

Check out my latest article: Agent harnesses in production and the essential layer that is often left out https://t.co/tL3MwO3mSB via @LinkedIn

[R 'Nearest' Nabors @rachelnabors]

https://t.co/zkRr6QSAMM

[Mario Zechner @badlogicgames]

recommended reading!

[Arize AI @arizeai]

Your AI agent disagrees with your human reviewers all day. Most teams treat that as noise. It's the most useful signal in the system.

@jimbobbennett wrote up how to mine the gap and feed it back to the agent.

https://t.co/fv2vPGsSmy

[Arize AI @arizeai]

Prompt engineering and evals can squeeze SOTA performance out of SLMs. @rachelnabors breaks it down

[Arize AI @arizeai]

Docs aren't just for humans anymore. Every coding agent, RAG pipeline, and copilot is reading them too, and they read differently. They truncate, skip pages they can't parse, and trim content before it reaches the model.

We built our docs to hold up for every agent that reaches for them. Find us near the top of the @mintlify agent score leaderboard:
https://t.co/CnozmNpfrv