Evaluator

Screening for AI collaboration skill has no established playbook — most platforms still score whether a candidate wrote code from scratch, which tells you nothing about how they handle a Cursor-generated function that looks right and isn’t. Evaluator is a technical assessment generator that produces role-specific tests from a job description, scores candidate responses automatically, and focuses the rubric entirely on AI collaboration proficiency alongside the fundamentals: reading code, debugging, and writing.

The differentiating feature is what the vendor calls the five-test framework. Prompt quality is scored on context, constraints, edge-case handling, and acceptance criteria — not length. Reading AI code asks candidates to spot the over-engineered class and the swallowed error, not just describe what the function does. The surgical fix question penalizes broad refactors that miss the planted bug. The critique section plants multiple hallucinations — fake library calls, off-by-ones, silent catches — and grades whether the candidate finds all of them or declares victory after the first. The vendor states a live co-coding session rounds out the assessment, though the page content on that section is truncated.

This fits hiring pipelines where engineering teams are already running Copilot, Cursor, or Claude Code daily and want a screen that reflects that workflow. The vendor offers 10 free assessments per month with no card required, which covers initial pilots. Where the tool breaks: there is no self-hosted option, no API described on the page, and no ATS integration mentioned — teams running high-volume pipelines will be managing results outside their existing tooling. Custom rubric editing is not described, so teams with proprietary scoring criteria are working within whatever the platform defines.