Frontier labs are sprinting toward general intelligence. Models keep getting more capable, but on the things that actually matter to the people who pay for them: work whose output a senior expert must sign their name to. We still have no public, rigorous way to know how good they are.
Existing benchmarks tell us whether a model can identify a clause, summarize a document, retrieve a fact. What no one is testing is whether a model can produce work that a senior expert would actually use. The answer is hidden in proprietary benchmarks, vendor white papers, and gut feelings.
Gragi is the third-party scorekeeper. Working with a small set of partners, we grade frontier models the way a senior partner reviews an associate's draft: against a written rubric, with explicit obligations, with verdicts that say fit for use or not fit for use.
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