Cekura

Does Cekura support testing across multiple languages and accents, given how critical that is for conversational AI reliability?

Congrats on the launch. The hard part of a self-improvement loop is the blast radius. When an agent rewrites its own behavior from production calls, a fix for one flow can quietly bend a compliance flow sitting next to it, and in healthcare that is the thing every security review hunts for. Closing that loop safely, so the agent improves without drifting out of its guardrails, is the whole game, and it is a genuinely hard problem to have taken on.

When monitoring production calls, how does Cekura detect quality issues in real time, and what kind of alerting or reporting does it provide to teams?

Nice launch! What CI/CD tool integrations do you support?

For teams already using CI/CD pipelines, how much setup or configuration is typically required to integrate Cekura, and is it compatible with most existing tooling?

This is great and a much needed product. How are you processing the simulated calls? Is it STT or do the models listen to the audio stream to pick tone, frustration signals etc.

this is squarely the problem we deal with running voice AI. the thread so far is all about logical correctness (did the agent do the right thing), but a huge chunk of our real failures are cases where the words are technically right and the delivery is off - wrong pacing after an interruption, a flat tone on something that should sound apologetic, talking over a caller who paused to think rather than finished. does Cekura's simulation/scoring catch prosody and delivery quality as a distinct failure category, or is it mainly evaluating on transcript content right now

the without overfitting part is doing a lot of heavy lifting in that description, and its the right thing to be worried about. an auto-fixer that cant prove the fix generalized is just prompt roulette.

Love the idea of making voice agents “self-healing” instead of just observable.

Hey Product Hunt!Sidhant here, co-founder of CekuraToday we are launching self-improving loops for voice agents.Fixing a voice agent has always been fragmented. Your testing tool tells you what failed, you diagnose it from transcripts, patch the prompt, re-run, and something else breaks. The tools find problems, but the fixing has always been a human walking between them.Cekura collapses that loop. It runs thousands of simulated calls and groups every failure, explained in plain English. Optimise agent hands them to the Cekura Agent, or any coding agent you use, Claude Code, Codex, anything. It reproduces each failure, makes the change, and reruns until everything passes, then verifies nothing else broke. You review the diff.Two rules: it must reproduce a bug before fixing it, and every fix is proven on simulated calls on a clone, never your live agent.Free for everyone to try, starting today. We are in the comments all day. If you want to chat more, please feel free to book time here