diff --git a/docs/faq.md b/docs/faq.md
index 7b5271a..025bf68 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -65,8 +65,9 @@ Use `fd.profile(df)`, `fd.suggest_plan(df)`, or `fd.compare_plans(df)`.
 
 ## Is it production-ready?
 
-`freshdata` is typed (`py.typed`), has 800+ tests with 95%+ coverage, runs on
-Python 3.9–3.13, and is validated against 50 real public datasets in CI.
+`freshdata` is typed (`py.typed`), has 1,200+ tests with a 93% coverage gate
+enforced in CI, runs on Python 3.9–3.13, and is validated against 50 real public
+datasets in CI.
 
 ## How do I report a bug or request a feature?
 
diff --git a/docs/feature-overview.md b/docs/feature-overview.md
index 4e67291..1a2589d 100644
--- a/docs/feature-overview.md
+++ b/docs/feature-overview.md
@@ -18,7 +18,7 @@ keywords: freshdata features, data cleaning features, pii masking, data trust sc
 | Profiling | `fd.profile(df)` — read-only data-quality insight using the same inference as `clean`. |
 | Plans & comparisons | `fd.suggest_plan`, `fd.compare_plans`, `fd.compare_clean`, `fd.explain_clean`. |
 | Safe defaults | Targets, IDs, and free-text columns are protected from leakage and corruption. |
-| Typed & tested | `py.typed`, 800+ tests, 95%+ coverage, mypy-clean. |
+| Typed & tested | `py.typed`, 1,200+ tests, 93% coverage gate enforced in CI, mypy-clean. |
 | pandas-first | Pure pandas + NumPy core; no heavy dependencies required. |
 
 ## The enterprise layer