diff --git a/tests/testthat/test-adjust-predictions-custom.R b/tests/testthat/test-adjust-predictions-custom.R
index 5d6d92b..f61e745 100644
--- a/tests/testthat/test-adjust-predictions-custom.R
+++ b/tests/testthat/test-adjust-predictions-custom.R
@@ -1,3 +1,45 @@
+test_that("basic adjust_predictions_custom() usage works", {
+  skip_if_not_installed("modeldata")
+  library(modeldata)
+
+  # fitting and predicting happens without raising conditions
+  expect_no_condition(
+    tlr <-
+      tailor() %>%
+      adjust_predictions_custom(linear_predictor = binomial()$linkfun(Class2))
+  )
+
+  expect_no_condition(
+    tlr_fit <- fit(
+      tlr,
+      two_class_example,
+      outcome = c(truth),
+      estimate = c(predicted),
+      probabilities = c(Class1, Class2)
+    )
+  )
+  expect_no_condition(
+    tlr_pred <- predict(tlr_fit, two_class_example)
+  )
+
+  # classes are as expected
+  expect_s3_class(tlr, "tailor")
+  expect_s3_class(tlr_fit, "tailor")
+  expect_s3_class(tlr_pred, "tbl_df")
+
+  # column names are as expected
+  expect_equal(
+    c(colnames(two_class_example), "linear_predictor"),
+    colnames(tlr_pred)
+  )
+
+  # calculations match those done manually
+  expect_equal(
+    tlr_pred$linear_predictor,
+    binomial()$linkfun(two_class_example$Class2)
+  )
+})
+
 test_that("adjustment printing", {
   expect_snapshot(tailor() %>% adjust_predictions_custom())
 })