Evaluate grammatical quality, coherence, and naturalness of text.
Scores generated text on readability, grammatical correctness, coherence and absence of redundancy. The least consequential solution in this group, because modern models rarely produce disfluent text — the problems are elsewhere.
High-volume published content where reading level must be controlled, or where non-native readers are the audience.
Almost anywhere the content is short, internal, or judged on accuracy rather than style. Fluent text is not the scarce commodity it was.
Fluency scores must never be presented alongside correctness scores without a clear distinction, because readers conflate the two and fluency is the easier one to achieve.
Rewarding fluent wrongness. A confidently written incorrect statement scores higher than a hedged correct one, which is exactly backwards for most purposes.
A customer communications team checking that automated correspondence sits within a target reading grade before it goes out.
Two different absences share this shape. Foundational solutions get built whatever the domain, so no domain links them; the rest are solutions this domain genuinely does not reach for. v_ai_solutions_unlinked separates the two.