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Preparing the next view without exposing private workflow data.
Preparing the next view without exposing private workflow data.
One role. One Proof Mission. A small cohort. Blinded, evidence-linked review—and the final decision stays with your team. Start with a pilot you can inspect end to end.
A credible pilot is deliberately narrow. Each step below is scoped so a single engineering leader can run it in under a month without changing how their team hires.
Pick one open role and the few capabilities that actually matter for it. A narrow Role Blueprint keeps every later signal relevant and reviewable.
Define the role and capabilitiesChoose the single Mission whose evidence maps to those capabilities. For backend roles, THE ALMOST-RIGHT PR targets debugging, API ownership, and AI supervision.
Select one Proof MissionSend private invitations with a fixed attempt window. Small cohorts keep human review thorough and feedback honest.
Invite a small cohortYour reviewers see identity-hidden reports where every claim resolves to exact Evidence IDs, with uncertainty and contradictions visible—not a ranked list.
Review blinded, evidence-linked resultsnoCV supplies bounded evidence; your team makes the hire/no-interview decision outside any automated scoring. The platform never issues an opaque verdict.
Make the human decisionThis example shows exactly what a first pilot for one mid-level backend role looks like when configured today.
Mid-level · individual contributor
Diagnose a plausible failure in AI-generated integration code without rewriting from scratch.
Decide whether webhook behavior is safe to own in production.
Judge agent-authored work instead of assuming its correctness.
Rescue · Review · Debug
An AI agent shipped professional-looking webhook code. Most tests pass. Decide whether it is safe to own.
Reviewers get evidence packets, not leaderboards. Every item below exists to be checked, not to be averaged into a score.
Per-candidate capability rows with status, exact Evidence IDs, assurance level, and stated uncertainty. Identity fields stay hidden during technical review.
The commit, environment, mission version, artifacts, AI supervision records, and any optionally declared tool context captured at freeze time.
Prediction, adaptation, diagnosis, and defense records, each citing the submission and labeled with what was enforced versus simulated.
Where claims conflict or coverage is partial, the report shows it instead of averaging it away. There is no composite ranking score.
The platform's boundary is a feature. It keeps your team accountable and the evidence honest.
Hide names, schools, employers, location, and other irrelevant identity details during technical review.
Every material claim resolves to exact, access-controlled Evidence IDs—with contradictions and gaps shown.
See partial coverage, assurance level, and review status—never a magic match score or ranking.
Walk through the intake steps for AI-Native Backend Engineer II in an illustrative setup screen. No account, data collection, or production commitment required.