I build the AI-augmented testing that keeps a product in tune after the team is gone — risk strategy, automation that scales, and the CI gates that hold the line.
— Yoav Shlomov · QA engineer, builder of AI-assisted test tooling · LinkedIn
Four stages, in order. Same way you tune an instrument: set the reference, build the thing, hold it there, then teach the ear so it stays tuned without me.
I map where quality actually breaks in your product — for me that's usually the money paths: plans, credits, checkout, subscription logic. We define the risk model and decide, honestly, what's worth automating and what isn't.
Playwright end-to-end suites plus AI agents that turn specs and tickets into real, maintainable tests — the same toolkit I built and ran inside a high-traffic billing and growth product, not a slide about one.
The checks get wired into your pipeline so regressions are caught before release — at the gate, not by your users on a Friday afternoon.
I leave your engineers able to run and extend the AI-assisted workflow themselves. The goal isn't to make you depend on me — it's that quality doesn't walk out the door when I do.
You ran an "AI-native" reorg and cut QA. Releases suddenly feel risky and nobody owns the safety net.
You've never had QA, and you're scaling past the point where founders can eyeball every release.
Your testing is all manual and brittle, and it's quietly slowing down every single release.
Everything here is real and I'll walk you through any of it on a call. No borrowed logos.
Tell me what you're shipping and where it feels shaky. First call is a free 30-minute tuning check — we find the loudest risk and a plan to quiet it.