We've been hearing incredible feedback about self-serve onboarding in @JudgmentLabs. Time to value has been a strong focus for us and it's awesome to see it paying off.
One of the hardest parts of evals in AI engineering is understanding what to eval. Failure mode analysis is often too manual for comfort, and teams are too busy to sift through their data looking for needle-in-haystack failures.
We introduced autonomous failure mode detection using SotA clustering methods and background agents. The "wow" moments are pretty insane.
Join us tomorrow in San Francisco for a free scoop of @Mercor mocha ice cream.🍦
Congratulations @JudgmentLabs on releasing general access and thanks for the sweet treat.
500 Howard St.
San Francisco
Wednesday, October 28, 11AM-1:15PM
Thank you to all of our customers and partners who helped us get here.
To celebrate, we’re bringing back the Judgment ice cream truck in SF this Tuesday-Thursday 🍨
Come grab a scoop! https://t.co/ssTaU6frQE
Congrats @JudgmentLabs and @alexshander03 on GA!
The team was in our Slack shipping features at 4 AM. That's the kind of partner you want. Great integrating Judgment into our stack at Atomicwork, and looking forward to building more together.
Today, @JudgmentLabs opens for general access.
We believe long running agent systems will generate more exhaust data than the world can currently process.
Hidden within agent traces are rich records of how to make these systems better: what users ask for, when agents stumble, and how agents interact with the external world.
Judgment is the most performant monitoring and improvement layer for long-horizon agents.
We’re excited to see what you build!