After 19 years in QA, I built the AI version of QA I kept wishing existed — Ovi AI is live
Hey all!
Ovi here - I've spent 19 years as the QA builder inside startups — the one catching what slips early and building QA systems that support quality at speed. The one most teams can't afford to hire early, and most founders don't know they need yet.
The thing I kept seeing: AI is making teams ship faster than ever. I kept watching them pay for it later. Bugs, churn, "fast feedback loops" that were really just bug fixing in disguise.
So I built Ovi AI. It learns your product in minutes, challenges requirements, reviews every PR from the customer's perspective, flags bugs, gives a ship score, and tests in the browser with screenshots and recordings.
No new tools, no new process — just a senior AI quality partner in the tools you already use.
Launching today: firstqa.dev
Happy to answer anything about the build, the problem, or QA in fast-moving teams.
This reads like someone who didn’t start from “let’s add AI to QA,” but from years of accumulated friction inside real release cycles. The strongest part is the shift from detecting bugs to interpreting intent (“customer perspective”) inside PRs and requirements—that’s where QA actually becomes preventative instead of reactive. Most tools optimize testing; this is closer to augmenting judgment.