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Reference

FAQ

The questions I get most, answered plainly.

#We already have QA — why bring you in?

Your QA team almost certainly covers the deterministic surface. The gap is the LLM feature: no golden set, no judge, no gate — prompt changes ship on vibes. I add the eval layer to your existing pipeline, and your team owns it when I leave.

#Do you work in our stack or yours?

Yours. Your repo, your CI, your conventions. Every engagement ends with a runbook and a walkthrough — the deliverable is a system your team runs without me.

#What does it cost?

Fixed prices for the common paths — a $497 AI Quality Audit, packaged builds from $4,997, and monthly care from $299/mo — plus a custom quote (2-minute Scope Studio) for anything larger. See Pricing.

#How fast can you start, and how long does it take?

Booking one engagement at a time — check the availability chip on the site. The audit is about a week; sprints run ~2–3 weeks; full builds ~4–8 depending on scope. Something visible ships in the first two weeks.

#What if the evals show our AI is fine?

Then you ship with evidence instead of hope — that’s the win. The suite stays in CI catching the regression that would have landed six weeks later.

#Do you take full-time roles?

Open to the right one. The site has a “Hire me” mode and a résumé — the capabilities here are the ones I’d bring to a team on day one.

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