Aaron Epstein from YC said the next trillion internet users will be AI agents.
We built omium because these trillion-scale users that run autonomously
-> touch real money
-> fail silently
And they need more than a restart button.
https://t.co/rhVY6QQLW3 helps with that.
Software for Agents
@aaron_epstein
The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons.
Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.
you review every PR before it hits prod.
but your AI agent makes 10,000 decisions in prod
with zero review
zero checkpoint
zero rollback.
this changes today, with https://t.co/kpMOWaKf05
when your employee misbehaves, you fire them.
when your AI agent misbehaves,
it’s already made 40,000 decisions.
touched real data.
affected real customers.
and it has no idea it did anything wrong.
and neither do you.
AI agents ship fast and fail faster
@omiumAI is the reliability layer that captures every trace, clusters failures by pattern and generates evaluations that fixes them
your agent automatically gets smarter every week
Reliability and observability infrastructure while scaling AI agents in prod is not a thing of the future; it's the need of the hour!
https://t.co/rhVY6QQLW3
watch 10 teams take the stage and prove that all you need is ambition & momentum
the sf sprint reshaped how we support ambitious founders
by building a global accelerator designed to compress momentum
"no pickles, extra mayo."
22% of fast food AI orders still require human intervention. 65% of failures came from customisation requests.
At a single location that's manageable.
At 100 locations with zero observability that's thousands of wrong orders before anyone noticed a pattern.
@McDonalds's deployed AI at 100+ drive-thrus.
It added 260 chicken McNuggets to one order.
It tried to put bacon on ice cream.
It got pulled from every location by July 2024.
the model wasn't the problem. no observability what it was doing in real time, is!
2 million orders flowed through @tacobell's AI drive-thru system. then came the "18,000 cups of water" prank. then came the glitches. then the delays.
at scale, one edge case becomes a content moment becomes a brand crisis.
nobody was watching for it.
"our agent is working great"
working = completed the task great = nobody complained yet
these are not the same thing and the gap between them is where production incidents live
AI failures are headlining every day.
And every time, the postmortem says the same thing:
"We had no visibility into what the agent was doing."
same problem. different company. every week.
@sflorimm Thank you so much. Really glad you liked the design.
Omium is built to give AI agents the reliability and observability they need to perform consistently in production.