Plurai

The multi-agent debate validation is the part I want to understand better. How do you keep the debate from converging on the same model's biases? Different model families per agent, or the same base with different role prompts? Asking because validation-by-consensus often inherits failure modes from the underlying judge, and avoiding that is the actual hard problem.

wow looks amazing @Plurai congrats with the launch

Would love to hear more feedback on the product and interesting use-cases

We would love to hear everyone’s use cases!

Love it. The product looks great and super proffesional!I'm just wondering can it help with any type of models or only textual models for now?If I'm working with VLMs, or with LLMs in a pipeline but processing audio, still images or video it could help with any model as long as it's dealing with language and semantics ?

Just finish setting my first Evals, very immersive, I'm a fan!

What does training data mean in the context of Agents?

Vibe training is such a good framing, finally something that matches how teams actually think about agent behavior. cheers team 🙌 BTW, what happens when two guardrails conflict with each other at runtime?

@tammy_wolfson2 Many congrats on PH launch. Quick Question, does Plurai auto-detect model drift and retrain, or is that a manual trigger?

Congrats on the launch, does it work with all LLMs that provide fine-tunning capabilities?

Love your solution! Good luck with the launch today!

It's looking real nice. Could an MCP be applicable here?

I was looking for tool like this for ages!

Tested it during the weekend and it’s amazing!!!

If this actually reduces hallucinations or cost + policy violations at scale, thats huge!That's where most of the pain is for me

The multi-turn simulation piece is interesting.Single prompt evals are easy, but most real failures happen across a sequence of interactions.If this actually captures that well, that’s a meaningful step up from most eval tooling I’ve seen.

So does it prevent AI agents from purchasing overpriced courses, right? :D

Guys, congratulations on the launch! Good luck!

Hey Product Hunt, Ilan from Plurai here.We spent the last year on a research problem: can you train a production-grade eval or guardrail from just a task description, no labeled data, no annotation pipeline?Turns out you can. We call it vibe-training.Most teams today rely on LLM as a judge. It never fully converges, breaks on edge cases, and at 100ms per call it collapses economically at scale. So teams sample instead of evaluating everything. Failures happen between the samples, invisibly.Plurai lets you describe what your agent should and should not do. The platform generates training data, validates it through a multi-agent debate process, and deploys a custom small language model in minutes.Results against GPT-5 LLM-as-judge: over 43% fewer failures, 8x lower cost, sub 100ms. Good enough to run on every interaction, not just a sample.The research behind it is public.Try it free at https://app.plurai.ai, I'd love to hear what eval problem you're working on.