diff --git a/.Rbuildignore b/.Rbuildignore
index dc41e622..92351a76 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -22,3 +22,6 @@
 ^.lintr$
 ^.venv$
 ^inst/templates$
+^\.workflow$
+^\.plans$
+^\.claude$
diff --git a/.gitignore b/.gitignore
index ae7df412..51bb061e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,3 +11,6 @@ inst/doc
 renv.lock
 renv/
 .Renviron
+.workflow/
+.plans/
+.claude/
diff --git a/DESCRIPTION b/DESCRIPTION
index 34ed7bb8..ec393c6e 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: epipredict
 Title: Basic epidemiology forecasting methods
-Version: 0.2.2
+Version: 0.2.3
 Authors@R: c(
     person("Daniel J.", "McDonald", , "daniel@stat.ubc.ca", role = c("aut", "cre")),
     person("Ryan", "Tibshirani", , "ryantibs@cmu.edu", role = "aut"),
diff --git a/NEWS.md b/NEWS.md
index 70331d73..973f7cd1 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,6 +2,10 @@
 
 Pre-1.0.0 numbering scheme: 0.x will indicate releases, while 0.0.x will indicate PR's.
 
+# epipredict 0.2.3
+
+- Fix `print.canned_epipred()` so the latency-adjustment information actually displays for canned forecasters that include `step_adjust_latency` in their recipe (#447).
+
 # epipredict 0.2.2
 
 - Fix `autoplot.epi_workflow()` to correctly handle the response variable and avoid errors related to `.response`.
diff --git a/R/canned-epipred.R b/R/canned-epipred.R
index 7d53862c..2683acad 100644
--- a/R/canned-epipred.R
+++ b/R/canned-epipred.R
@@ -112,7 +112,7 @@ print.canned_epipred <- function(x, name, ...) {
     "At forecast date{?s}: {.val {fds}},",
     "For target date{?s}: {.val {tds}},"
   ))
-  if ("pre" %in% names(x) && "actions" %in% names(x$pre) && "recipe" %in% names(x$pre$actions)) {
+  if (!is.null(x$epi_workflow$pre$actions$recipe)) {
     fit_recipe <- extract_recipe(x$epi_workflow)
     if (detect_step(fit_recipe, "adjust_latency")) {
       is_adj_latency <- map_lgl(fit_recipe$steps, function(x) inherits(x, "step_adjust_latency"))
diff --git a/tests/testthat/_snaps/snapshots.md b/tests/testthat/_snaps/snapshots.md
index 51593019..6be009c4 100644
--- a/tests/testthat/_snaps/snapshots.md
+++ b/tests/testthat/_snaps/snapshots.md
@@ -727,6 +727,7 @@
       * 56 unique geographic regions,
       * At forecast date: 2022-01-03,
       * For target date: 2022-01-10,
+      * Lags adjusted per column: case_rate=3, death_rate=3
       
 
 ---
@@ -750,6 +751,7 @@
       * 56 unique geographic regions,
       * At forecast date: 2022-01-03,
       * For target date: 2022-01-10,
+      * Aheads adjusted for death_rate=3
       
 
 # arx_classifier snapshots
diff --git a/tests/testthat/test-snapshots.R b/tests/testthat/test-snapshots.R
index eb0439c1..e559ff48 100644
--- a/tests/testthat/test-snapshots.R
+++ b/tests/testthat/test-snapshots.R
@@ -132,6 +132,10 @@ test_that("arx_forecaster output format snapshots", {
   expect_equal(as.Date(format(out2$metadata$forecast_created, "%Y-%m-%d")), Sys.Date())
   out2$metadata$forecast_created <- as.Date("1999-01-01")
   expect_snapshot(out2)
+  expect_match(
+    paste(testthat::capture_messages(print(out2)), collapse = ""),
+    "adjusted"
+  )
   out3 <- arx_forecaster(jhu, "death_rate",
     c("case_rate", "death_rate"),
     trainer = quantile_reg(),
@@ -143,6 +147,10 @@ test_that("arx_forecaster output format snapshots", {
   expect_equal(as.Date(format(out3$metadata$forecast_created, "%Y-%m-%d")), Sys.Date())
   out3$metadata$forecast_created <- as.Date("1999-01-01")
   expect_snapshot(out3)
+  expect_match(
+    paste(testthat::capture_messages(print(out3)), collapse = ""),
+    "adjusted"
+  )
 })
 
 test_that("arx_classifier snapshots", {