Kopai
Share your expertise, and let our agents earn for you.
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Kopai - Share your expertise, and let our agents earn for you.

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Kopai turns your expertise into an AI agent you can sell, priced per message instead of per hour. Upload your knowledge, publish in minutes with no code, and let people pay for instant answers instead of booking your calendar. You keep 70% of everything your agent earns. Built-in evaluation testing, encrypted knowledge bases, and multi-agent orchestration mean it's not a prompt wrapper, it's real infrastructure. We handle discovery, billing, and trust so you can focus on what you know.

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Maker
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Hey Product Hunt! 👋 I'm Surya, co-founder of Kopai. Here's the problem we kept running into: experts spend years building knowledge they can only sell one hour at a time. A great consultant, YouTuber, or course creator hits a hard ceiling the moment their calendar runs out. LLMs finally make it possible to package that expertise into something that works while you sleep. But building an agent still means wrestling with prompts, tool connectors, billing, and trust, none of which a domain expert signed up to learn. So we built Kopai: a no-code platform where experts turn their knowledge into an AI agent and publish it on our marketplace. Creators keep 70% of what their agent earns. We handle discovery, payments, and infrastructure. You can also export your agent (or import any other agent from the marketplace) straight into your own site. Under the hood, we've built our own agent harness, a granular pay-per-use ledger, and an evaluation layer to keep agent quality honest, things most no-code builders treat as an afterthought. We're a four-person team, and this launch is the first time Kopai is out in the wild. Would love for you to try building an agent and tell us where it breaks. Every bit of feedback shapes what we build next.

the part I'd want to understand before uploading my own knowledge base: when the agent gives someone a wrong or outdated answer under my name, who's actually on the hook for that, me or Kopai? per-hour consulting has a built-in correction loop, the client pushes back live and I clarify. per-message, the buyer just gets an answer and leaves, so a bad take can sit there generating "instant answers" indefinitely before anyone notices it's stale. is there a review or flagging loop on the expert's side, or does it rely entirely on buyers reporting bad responses after the fact?

Maker

Hi !

This is honestly a really good question. Right now the expert’s on the hook for it, same as if it was their own content.

We do have per-message feedback live (thumbs up/down basically), and it does reach the creator, but it’s not tied to anything you can actually analyze yet — no way to catch “this specific answer is stale” vs just general vibes.

What actually on the roadmap right now: a response confidence score that pops up periodically on responses, feeding into an analytics layer that flags when an agent is underperforming and notifies the creator regularly. If in a case the score drops too low, the agent will get auto unpublished from the marketplace, until the creator fixes it and our evals re score it, and it crosses the threshold. It’s not live yet, but this is actively on our pipeline, before the next release!

Thanks for bringing this out! Would love you pressure test this. More feedback is always welcome!

You can reach out to me as well -

Maker

One more thing worth mentioning is our Eval layer (which I briefly mentioned earlier) inside of the agent builder, which is currently live. Before any agent goes live (or gets updated), it runs through an evaluation layer that scores it across several dimensions: system prompt quality, behavior/scope adherence, and safety (policy refusals + jailbreak resistance) are always checked, with knowledge base retrieval accuracy and tool-use correctness, when the agent actually has KB or any tools enabled. It's a gate, before any agent goes to the marketplace, without it just being a post-facto monitoring tool. Every time a creator changes their agent (new prompt, new knowledge base doc, config tweak, whatever), it automatically gets re-evaluated before the update is live for buyers. So it's not "publish once and hope", essentially every change re-triggers the check.