Can you build?
Give every candidate the same interactive challenge and an AI to direct — the way the job is actually done now. You get a scored, evidence-backed report and make the call. No trivia, no take-home theatre.
The CV and the take-home stopped telling you anything.
When every candidate writes and codes with the same AI, the polished artefact tells you about the tool, not the person. Hand them a real problem and an AI to direct instead, and the signal comes right back: what they ask first, what they verify, and what they're willing to ship.
The whole thing, in three pages.
The concept, what candidates experience, and the anonymity and oversight built in — end to end.
Read →A rubric written for the role, scores that cite the transcript, and a verdict only a person makes.
Read →Short, honest field notes on what changes about hiring once candidates work with AI.
Read →No names. No emails. No PII to govern.
Every candidate is an opaque link token; your team keeps the link-to-person mapping on its own side. A long security review becomes a short one — and a person makes every call, never the model. How we handle data →
Imagined by builders. Built for hiring.
Can You Build? is an experiment by paddoq, a small group of engineers exploring how work — and how we hire for it — changes now that everyone builds with AI. Every assessment is evidence: what someone can actually do, judged on the work.
Try it on one real candidate.
It's an experiment — prepaid credits, no seats, no subscription. Tell us the roles you hire for and what you want to measure, and we'll set you up. We reply personally, usually within a day.