Framer AI AgentsDesign and publish professional sites with AI
Vibe training for AI agent reliability. Describe what your agent should and should not do — Plurai generates training data, validates it, and deploys a custom model in minutes. It feels like vibe coding, but for evaluation and guardrails. No labeled data. No annotation pipeline. No prompt engineering. Under the hood, small language models deliver sub 100ms latency, 8x lower cost than GPT as judge, and over 43% fewer failures. Always on, not sampled. Built on published research (BARRED).
Lovon AI therapy
wow looks amazing @Plurai congrats with the launch
Kilo Code
@ponikarovskii Thank you, Anton! S/O to makers @ilankad23 and team
What's struck you the most in the product? Spread the word on X, repost this!
Plurai
@ponikarovskii Thank you!
Plurai
@ponikarovskii did you get a chance to try it out? Would love to hear your use case
Plurai
So excited for everyone to try it!!
Plurai
@tammy_wolfson2 totally!!!!
Plurai
@reut_v_plurai 💖
Kilo Code
Shout-out for the awesome work on this launch! 👏👏
Plurai
@fmerian 🫶🏻
Plurai
Been building this for a while. If you're running evals or guardrails on AI agents, try it out and let us know what you think!
Plurai
@ben_wisbih blood sweat and tears 😀
Plurai
@ben_wisbih ❤️🔥
Plurai
@ben_wisbihthank you! so grateful to have you with us
Plurai
@ben_wisbih best builder!
Tendem by Toloka
Q:Are there humans involved in the evals?
I was looking for tool like this for ages!
Plurai
@urieli17 Let me know what you think once you try it out!
Plurai
@urieli17 it's finally here :)
Plurai
@urieli17 we're here!
Plurai
@urieli17 thank you! looking forward to hear your feedback and use-cases
Scade.pro
Plurai
@nastassia_k
Thanks! I'm here if you have any more questions! Let me know what you think once you try it out!
Plurai
@nastassia_k thank you! waiting for your feedback!
Plurai
@nastassia_k Thank you! would love get your feedback on the product and thoughts on our approach? we just getting started!
a 'economic collapse at scale' point is so spot on. We finally stopped 'sampling' because we couldn't justify the cost of GPT-5 as a judge for every call it's like paying more for the auditor than the employee. Seeing a 43% reduction in failures with a sub-100ms model is the real promise of SLMs in 2026. @ilankad23 , does the debate process handle the initial data generation, or is that just for validation?