AgentStatus

Outside-in AI Agent monitoring and validarion.

[Dulra @dulrajnr]

Your friends are building AI agents, and you can't follow half of what they say.

Here's the vocabulary they're using, defined plainly. You're welcome :)

[AgentStatus @AgentStatus]

The future of AI Agents should be rooted in accountability, monitoring and outside-in validation.

[Román Moskalenko @RomanMoska1enko]

https://t.co/hrJhIF1J4Z

[AgentStatus @AgentStatus]

The fact is: your internal evals and checks will never tell you what your actual users experience when they interact with your AI Agent. Your users aren't inside your system mate 🤠

[Román Moskalenko @RomanMoska1enko]

🚨🚨 If you build AI Agents, the following information will blow your mind:

A system that scores 95% in your test suite can be failing 40% of real users at this exact moment, and nothing in your current stack will tell you.

Your evals pass and your checks show green, but every one of those tests runs from your OWN servers, against inputs YOU wrote, under conditions YOU control.

Your users connect from home wifi while your monitoring probes come from data centers, and protection systems treat those two things completely
differently.

https://t.co/gc9cQl15WD tests your AI Agent from real consumer devices around the world, the way your users actually see your AI Agent.

We call it "user-side" testing. We expose what your customers actually experience.

It is free to test, the data you will learn about your own agent will blow your mind.

Here is 5-min walkthrough 👇

#AIAgents #LLMOps

[AgentStatus @AgentStatus]

@sam_oresajo bahahaha

[AgentStatus @AgentStatus]

if you ever wondered what does the smallest brand page on X looks like, don't look any further

[AgentStatus @AgentStatus]

We see what your users actually see