CareerOS writes job applications automatically. Every sentence it produces is checked against the evidence it claims to come from, and anything unsupported is destroyed before a human ever sees it. This is that check, running live. Edit the rewrite below and watch it be judged.
A model asked to improve a résumé bullet will improve it — including in ways nobody
can back up. It promotes supported to drove, moves a
number onto a more impressive noun, and adds a tool the person never used.
None of those introduce a new figure or a capitalised name, so a lexical check passes all three. This one compares structure instead: which verb governs the sentence, which noun each number sits beside, and whether a token is a product name.
Reject is for things nobody should have to review — an invented figure, a two-tier authority jump, a fabricated tool.
Review is for genuine ambiguity. A four-word window cannot tell cycle time from onboarding time, so it says so rather than guessing. Every unknown verb routes here too: a gap in the vocabulary is the gate's problem, not the writer's.
A gate that guesses in the strict direction teaches people to override it, and an override habit is worse than a smaller vocabulary.
On the first live generation run, the writer produced a 35% improvement
for a result that carries no such number. The check discarded the entire message and
the deterministic version shipped instead.
Measured against 23 hand-written bullets that must never be rejected, the false-reject rate is zero. A gate that fires on good work gets switched off.