See how they actually work.
Not how they interview.
A comprehensive AI-native assessment suite — work trials, interviews, cognitive tests — that predicts on-the-job performance with evidence.
Trusted by founders from YC, SPC, and more
Hiring is broken.
Everyone knows it.
That sinking feeling three months in when your "great interview" turns into a performance problem.
Resumes lie
Credentials don't predict performance. You're hiring based on marketing, not capability.
Interviews are theater
Candidates perform rehearsed answers. You learn who interviews well, not who ships.
LeetCode is cargo cult
Inverting binary trees has nothing to do with building products. Memorization isn't problem-solving.
AI changes everything
Your best hire uses AI to 10x their output. Traditional interviews penalize this.
"The best predictor of future performance is past performance — in similar conditions."
So why are we still using artificial conditions to predict real work?
Four steps to certainty
A comprehensive assessment suite — work trials, interviews, cognitive tests — that shows you who someone actually is.
Use any AI tools
Real environment. Real tools.
Candidate works on their own machine with their choice of AI tools. Just like their actual job.
Ambiguous Assignment
Designed to reveal agency.
A real-world project with incomplete requirements. See how they handle ambiguity and turn chaos into shipped code.
Build a support inbox triage system. Ingest tickets, cluster by topic, propose auto-replies, admin UI for review.
"Requirements intentionally incomplete. Ask questions. Make decisions. Ship something real."
Interviews & Cognitive Tests
Multi-modal signal, not just code.
Structured interviews probe reasoning, judgment, and communication. Cognitive tests measure raw problem-solving ability. Patterns across contexts — not one performance.
Evidence-Based Report
Signal, not vibes.
Rubric scores, evidence clips, and a clear recommendation you can act on.
Decisions backed by evidence
Not a vibe. A report that makes the hiring decision obvious — with receipts.
Candidate Evaluation Report
Full-Stack Engineer • Jan 2025
14.2 hours
47
12
Rubric Scores
Key Evidence
14:23 — "Chose to ship auth-less MVP first, documented security as Day 2 priority. Explicitly traded speed for completeness."
16:45 — When tests failed, diagnosed root cause in 8 mins using Claude Code. Fixed without introducing regressions.
What we measure
Six dimensions that predict on-the-job success. Each scored 1–5 with evidence.
Intelligence
Problem decomposition, pattern recognition, learning speed
Grit
Persistence through ambiguity and setbacks
AI Tool Usage
Leverages AI effectively as a force multiplier
Openness
Receptivity to feedback, new approaches, and change
Judgment
Prioritization, tradeoffs, knowing what matters
Agency
Proactive decisions, owns outcomes, escalates with options
Join the waitlist
Limited pilot spots available. Be among the first.