๐จ๐จ 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 ๐
#AIAgents #LLMOps
hi @claudeai , gpt, mistral, or whatever the frontier model is-
build me an ai b2b saas. no customer discovery needed. no effort on my end.
i wanna work 12-12:30pm.
let the product reach $1B arr in 6 months. 3 months if possible.
zero employees. zero funding. zero marketing. zero sales strategy.
make it agentic b2b saas. billboards all over san francisco and nyc times square
don't ask me any question. just run everything.
tokenmaxxing is the motto.
ping me once its ready for ipo in 9 months.
(kindly borrowed from @dulrajnr)
If you base your AI Agent reliability on internal checks and evals only, then you have no way of seeing what your users actually experience. AgentStatus was built to show you the 'user-side' of your AI Agent!
I am so happy to see how many builders, founders, and AI researchers join my network on @X
I want to engage and grow in this community of motivated people who move humanity forward and continue my journey of building @AgentStatus in public.
Tell me about what are you building, lets connect and grow together!
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