diff --git a/tests/testthat/test-adjust-numeric-range.R b/tests/testthat/test-adjust-numeric-range.R
index eda96d3..b5adaee 100644
--- a/tests/testthat/test-adjust-numeric-range.R
+++ b/tests/testthat/test-adjust-numeric-range.R
@@ -1,3 +1,39 @@
+test_that("basic adjust_numeric_range() usage works", {
+  library(tibble)
+
+  # create example data
+  set.seed(1)
+  d <- tibble(y = rnorm(100), y_pred = y/2 + rnorm(100))
+
+  # fitting and predicting happens without raising conditions
+  expect_no_condition(
+    tlr <-
+      tailor() %>%
+      adjust_numeric_range(lower_limit = 1, upper_limit = 2)
+  )
+
+  expect_no_condition(
+    tlr_fit <- fit(tlr, d, outcome = y, estimate = y_pred)
+  )
+
+  expect_no_condition(
+    tlr_pred <- predict(tlr_fit, d)
+  )
+
+  # classes are as expected
+  expect_s3_class(tlr, "tailor")
+  expect_s3_class(tlr_fit, "tailor")
+  expect_s3_class(tlr_pred, "tbl_df")
+
+  # column names are as expected
+  expect_equal(colnames(d), colnames(tlr_pred))
+
+  # calculations match those done manually
+  manual_preds <- ifelse(d$y_pred < 1, 1, d$y_pred)
+  manual_preds <- ifelse(manual_preds > 2, 2, manual_preds)
+  expect_equal(manual_preds, tlr_pred$y_pred)
+})
+
 test_that("adjustment printing", {
   expect_snapshot(tailor() %>% adjust_numeric_range())
   expect_snapshot(tailor() %>% adjust_numeric_range(hardhat::tune()))