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).
Ok, you've got me. My product uses agents (for coding) and quality is the #1 concern, so if I can get evals and scores, I'm hooked. Heading over to your site. Take my upvote.
Plurai
@robert_douglass exactly what we were aiming for! what did you think?
Plurai
@robert_douglass amazing! Happy to hear
Plurai
@robert_douglass thank you!
Toone
It's looking real nice. Could an MCP be applicable here?
Plurai
@matheus_paranhos1 Coming very soon 👀
Plurai
@matheus_paranhos1 Great question! coming really soon :)
Kilo Code
@ilankad23 spoiler alert 🙈
Plurai
@ilankad23 @fmerian Haha 😆
Plurai
@fmerian @tammy_wolfson2 indeed, this is just the beginning
Just finish setting my first Evals, very immersive, I'm a fan!
Plurai
@marko_poe Amazing! Whats your use case?
Plurai
@marko_poe As the vp product at Plurai I'm thrilled to hear and happy to hear even more feedback if you want to share! I'm at reutv@plurai.ai. Thanks again for the kind words - this makes all the effort worth it!
Plurai
Hello world, I'm the product behind the product :)
VVibe training is here to make model training accessible — and to help your agents and LLM apps actually work in production.
Also - we obsessed over both the tech and the UX -> so we can't wait to hear your feedback!
Plurai
@reut_v_plurai Great to work with you
Plurai
@reut_v_plurai so glad to work with you on this
Plurai
@reut_v_plurai The product behind the product and what a product it is.
Amazing work, couldn’t have done it without you, so lucky to have you with us ❤️
Plurai
Would love to hear more feedback on the product and interesting use-cases
Plurai
@ilankad23 🙌🏻
The always-on vs sampled eval point is the part I’d want to test first. In agent workflows the weird failures usually happen in the unglamorous edge cases, so latency and cost matter as much as judge quality.
Sounds very cool! We are actually building a travel AI, I already asked my team to look at your product.
Plurai
@natalia_iankovych Awesome :) travel AI is such an interesting use case, I'm sure it's packed with evaluation necessities like - don't take the user to a haunted hotel ;) Let us know what they thought here or shoot me a note at reutv@plurai.com