Finds the silent failures that make an AI product look healthy while its numbers are wrong: confidence scores fed by fields nothing writes, cost meters that save nothing, failures that become a believable 0, evals that can't fail, benchmarks that can't be re-run.
Traces each trusted number to its writer, with a self-testing scanner and one-line fixes proven to fail.
1 in the Claude listing