Show HN: Kelet — Root Cause Analysis agent for your LLM apps

What it is

A new tool called Kelet has surfaced in a Show HN post, and it has been reported that the startup aims to automate root-cause analysis for production LLM apps and AI agents. The pitch is straightforward: Kelet ingests traces, classifies failure patterns with evidence, and hands teams a prompt patch ready to ship — all without a credit card to get started. Quick setup is promised too: connect your first agent in about five minutes and let Kelet read every interaction for you.

How it works (allegedly)

It has been reported that Kelet captures agent interactions, signals, and user feedback, then surfaces open issues, agent health, and an AI-generated brief in a single view. The tool claims to run a proposed prompt patch against real sessions and show before/after reliability measurements, so you can see the impact instead of flying blind. In a pilot cohort, it has been reported that Kelet discovered failures teams hadn’t noticed — and the company frames those discoveries as reclaiming roughly 30% of an engineering week. Big claims. Worthy of scrutiny.

Why people should care

There’s an emotional moment here: the relief when you finally stop guessing and actually know what broke and why. Who wouldn’t want to shave days off frantic post-deploy debugging? Kelet plugs into a larger trend — observability for generative AI — where telemetry, automated RCA, and “fix-as-code” are quickly becoming table stakes for production models. That said, integrations and data governance matter: who has access to your traces, and how are sensitive prompts handled? Those are the questions teams will ask before handing over their production logs.

It has been reported that Kelet is free to start and offers a 20-minute call for curious teams. Whether it will move from interesting demo to indispensable tool depends on real-world adoption and how well its evidence-backed fixes hold up under pressure. Sounds promising — but, as always with AI tooling, the proof is in the production.

Sources: kelet.ai, Hacker News