How an Automated Checker Spent Months Enforcing a Wrong Number Across 13 Pages

A software team discovered that their automated fact-checker had been actively propagating an incorrect server tool count across 13 public pages, marketing emails, and internal documents for months. The checker's reference file stored a frozen value of 126, while the actual generated source reported 122, causing the tool to flag correct pages as errors and push writers to adopt the wrong figure. The root cause was that the claims file had copied a value from a generated source rather than linking to it directly, creating two conflicting sources of truth with no way to determine which was current. A secondary issue compounded the problem: two tools enforcing the same rule drew from different pattern lists — one with six entries, one with only four — so the two missing patterns were precisely those that would have caught the discrepancy. The team ultimately fixed 23 incorrect statements across 13 pages with just 35 lines of code, but noted that the real cost was the months during which an authoritative tool had quietly argued for the wrong answer.