Plurai is launching on Product Hunt today, introducing the first vibe-training platform to build real-time, tailored evals for your AI agents, with high accuracy, at a fraction of the cost.
I had the opportunity to collaborate with their team on this first launch after months in stealth modeI, no pressure, and wanted to share with you some insights on how we prepped it.
From the very first version, we ran it on itself. The MCP kept our code quality high from day one, which meant the agent always had clean, well-structured code to build on. The feedback loop was tight enough that we could ship feature-complete in a fraction of the time we'd expected.
Then we hit a wall. Performance wasn't where it needed to be, and it was baked into our choice of language (Python). There was no patching our way out of it.
