Every Checks Turns Work Into Benchmarks

Every’s strongest idea is replacing generic leaderboard scores with evaluations that reflect how people actually work.

• –Real failure cases create higher-signal benchmarks than abstract academic tasks.
• –Pass/fail checks make model comparisons easier to interpret, though they still encode subjective preferences.
• –Personal benchmarks can reveal when cheaper models are good enough for routine work.
• –Agent-assisted setup lowers the barrier for users who understand their work but not evaluation infrastructure.
• –Checks is best viewed as a decision tool for model routing, not an objective universal leaderboard.