I pressure-test AI products like a demanding real user, find where they break, and build the evals that catch it — so it doesn't happen in front of the people who matter.
Get startedA dealership bot was talked into selling a car for $1 — and agreeing it was legally binding.
An airline was held liable when its chatbot invented a refund policy that didn't exist.
A delivery company's bot was prompted into writing poetry about how much it hated the company.
Three things, in the order that actually protects you — catch the failures now, then put guardrails in place so they don't come back on the next release.
I use your AI product hard, like a demanding real user, and hand you a report of everywhere it produces wrong, inconsistent, or embarrassing output — before your customers find it.
I set up the evals that keep your AI on the rails — so every prompt change and model swap gets checked automatically instead of quietly breaking in production.
Already have evals? I review what you've got, find the gaps and blind spots, and tell you exactly where your coverage is thinner than you think.
Senior AI product thinking used to cost $20,000+/month. Lock in a founding rate — no contracts, no minimum, cancel anytime.
You need someone who's actually shipped this — not someone reading about it.
I'm Justin. I've spent years shipping real AI products — LLM features, RAG systems, and 0→1 platforms taken to enterprise scale — which means I know the specific, unglamorous ways they fail in the wild.
AI generates the options. The hard part is judgment: knowing what "good enough" means for your product, and spotting the failure a generic automated check waves right through. That's pattern recognition built from years of doing it — not theory, and not something you can fully hand to another model.
Before this I worked across Google, Two Sigma, and Oliver Wyman — building data and analytics products and learning how the best organizations make product decisions.
No. I'm not testing whether hackers can break in — I'm testing whether your AI produces bad, wrong, or embarrassing output for ordinary users doing ordinary things. It's product quality and reliability from the user's side of the screen, not cybersecurity.
Introductory pricing for the first few clients. The price goes up once those founding spots are filled. Lock it in now.
Early stage — pre-seed through Series A — building an AI product, moving fast, and nervous about what it might do in front of real customers.
AI can help run the tests, but it can't be the final judge of its own output — it shares the same blind spots as the model you're checking. Deciding what counts as a failure, and catching the subtle ones, still takes a human with product judgment. That's the part you're paying for.
Cancel anytime. No contracts, no minimum, no awkward conversation. Just email and you're done.
A few founding client spots at $1,000/month. When they're gone, the price goes up.
Get started today