diff --git a/NAMESPACE b/NAMESPACE
index 103a03c6f..106dfe5b0 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -1,8 +1,13 @@
 # Generated by roxygen2: do not edit by hand
 
+S3method(Add_model,epi_workflow)
+S3method(Add_model,workflow)
 S3method(Math,dist_quantiles)
 S3method(Ops,dist_quantiles)
-S3method(add_model,epi_workflow)
+S3method(Remove_model,epi_workflow)
+S3method(Remove_model,workflow)
+S3method(Update_model,epi_workflow)
+S3method(Update_model,workflow)
 S3method(adjust_epi_recipe,epi_recipe)
 S3method(adjust_epi_recipe,epi_workflow)
 S3method(adjust_frosting,epi_workflow)
@@ -92,7 +97,6 @@ S3method(print,step_population_scaling)
 S3method(print,step_training_window)
 S3method(quantile,dist_quantiles)
 S3method(refresh_blueprint,default_epi_recipe_blueprint)
-S3method(remove_model,epi_workflow)
 S3method(residuals,flatline)
 S3method(run_mold,default_epi_recipe_blueprint)
 S3method(slather,layer_add_forecast_date)
@@ -115,10 +119,12 @@ S3method(tidy,check_enough_train_data)
 S3method(tidy,frosting)
 S3method(tidy,layer)
 S3method(update,layer)
-S3method(update_model,epi_workflow)
 S3method(vec_ptype_abbr,dist_quantiles)
 S3method(vec_ptype_full,dist_quantiles)
 export("%>%")
+export(Add_model)
+export(Remove_model)
+export(Update_model)
 export(add_epi_recipe)
 export(add_frosting)
 export(add_layer)
diff --git a/R/epi_workflow.R b/R/epi_workflow.R
index 926dc3cfd..c6f1e43a9 100644
--- a/R/epi_workflow.R
+++ b/R/epi_workflow.R
@@ -59,107 +59,6 @@ is_epi_workflow <- function(x) {
 }
 
 
-#' Add a model to an `epi_workflow`
-#'
-#' @seealso [workflows::add_model()]
-#' - `add_model()` adds a parsnip model to the `epi_workflow`.
-#'
-#' - `remove_model()` removes the model specification as well as any fitted
-#'   model object. Any extra formulas are also removed.
-#'
-#' - `update_model()` first removes the model then adds the new
-#' specification to the workflow.
-#'
-#' @details
-#' Has the same behaviour as [workflows::add_model()] but also ensures
-#' that the returned object is an `epi_workflow`.
-#'
-#' @inheritParams workflows::add_model
-#'
-#' @param x An `epi_workflow`.
-#'
-#' @param spec A parsnip model specification.
-#'
-#' @param ... Not used.
-#'
-#' @return
-#' `x`, updated with a new, updated, or removed model.
-#'
-#' @export
-#' @examples
-#' jhu <- case_death_rate_subset %>%
-#'   dplyr::filter(
-#'     time_value > "2021-11-01",
-#'     geo_value %in% c("ak", "ca", "ny")
-#'   )
-#'
-#' r <- epi_recipe(jhu) %>%
-#'   step_epi_lag(death_rate, lag = c(0, 7, 14)) %>%
-#'   step_epi_ahead(death_rate, ahead = 7)
-#'
-#' rf_model <- rand_forest(mode = "regression")
-#'
-#' wf <- epi_workflow(r)
-#'
-#' wf <- wf %>% add_model(rf_model)
-#' wf
-#'
-#' lm_model <- parsnip::linear_reg()
-#'
-#' wf <- update_model(wf, lm_model)
-#' wf
-#'
-#' wf <- remove_model(wf)
-#' wf
-#' @export
-add_model <- function(x, spec, ..., formula = NULL) {
-  UseMethod("add_model")
-}
-
-#' @rdname add_model
-#' @export
-remove_model <- function(x) {
-  UseMethod("remove_model")
-}
-
-#' @rdname add_model
-#' @export
-update_model <- function(x, spec, ..., formula = NULL) {
-  UseMethod("update_model")
-}
-
-#' @rdname add_model
-#' @export
-add_model.epi_workflow <- function(x, spec, ..., formula = NULL) {
-  workflows::add_model(x, spec, ..., formula = formula)
-}
-
-#' @rdname add_model
-#' @export
-remove_model.epi_workflow <- function(x) {
-  workflows:::validate_is_workflow(x)
-
-  if (!workflows:::has_spec(x)) {
-    rlang::warn("The workflow has no model to remove.")
-  }
-
-  new_epi_workflow(
-    pre = x$pre,
-    fit = workflows:::new_stage_fit(),
-    post = x$post,
-    trained = FALSE
-  )
-}
-
-#' @rdname add_model
-#' @export
-update_model.epi_workflow <- function(x, spec, ..., formula = NULL) {
-  rlang::check_dots_empty()
-  x <- remove_model(x)
-  workflows::add_model(x, spec, ..., formula = formula)
-}
-
-
 #' Fit an `epi_workflow` object
 #'
 #' @description
diff --git a/R/model-methods.R b/R/model-methods.R
new file mode 100644
index 000000000..607b04234
--- /dev/null
+++ b/R/model-methods.R
@@ -0,0 +1,133 @@
+#' Add a model to an `epi_workflow`
+#'
+#' @seealso [workflows::add_model()]
+#' - `Add_model()` adds a parsnip model to the `epi_workflow`.
+#'
+#' - `Remove_model()` removes the model specification as well as any fitted
+#'   model object. Any extra formulas are also removed.
+#'
+#' - `Update_model()` first removes the model then adds the new
+#' specification to the workflow.
+#'
+#' @details
+#' Has the same behaviour as [workflows::add_model()] but also ensures
+#' that the returned object is an `epi_workflow`.
+#'
+#' This family is called `Add_*` / `Update_*` / `Remove_*` to avoid
+#' masking the related functions in `{workflows}`. We also provide
+#' aliases with the lower-case names. However, in the event that
+#' `{workflows}` is loaded after `{epipredict}`, these may fail to function
+#' properly.
+#'
+#' @inheritParams workflows::add_model
+#'
+#' @param x An `epi_workflow`.
+#'
+#' @param spec A parsnip model specification.
+#'
+#' @param ... Not used.
+#'
+#' @return
+#' `x`, updated with a new, updated, or removed model.
+#'
+#' @export
+#' @examples
+#' jhu <- case_death_rate_subset %>%
+#'   dplyr::filter(
+#'     time_value > "2021-11-01",
+#'     geo_value %in% c("ak", "ca", "ny")
+#'   )
+#'
+#' r <- epi_recipe(jhu) %>%
+#'   step_epi_lag(death_rate, lag = c(0, 7, 14)) %>%
+#'   step_epi_ahead(death_rate, ahead = 7)
+#'
+#' rf_model <- rand_forest(mode = "regression")
+#'
+#' wf <- epi_workflow(r)
+#'
+#' wf <- wf %>% Add_model(rf_model)
+#' wf
+#'
+#' lm_model <- parsnip::linear_reg()
+#'
+#' wf <- Update_model(wf, lm_model)
+#' wf
+#'
+#' wf <- Remove_model(wf)
+#' wf
+#' @export
+Add_model <- function(x, spec, ..., formula = NULL) {
+  UseMethod("Add_model")
+}
+
+#' @rdname Add_model
+#' @export
+Remove_model <- function(x) {
+  UseMethod("Remove_model")
+}
+
+#' @rdname Add_model
+#' @export
+Update_model <- function(x, spec, ..., formula = NULL) {
+  UseMethod("Update_model")
+}
+
+#' @rdname Add_model
+#' @export
+Add_model.epi_workflow <- function(x, spec, ..., formula = NULL) {
+  workflows::add_model(x, spec, ..., formula = formula)
+}
+
+#' @rdname Add_model
+#' @export
+Remove_model.epi_workflow <- function(x) {
+  workflows:::validate_is_workflow(x)
+
+  if (!workflows:::has_spec(x)) {
+    rlang::warn("The workflow has no model to remove.")
+  }
+
+  new_epi_workflow(
+    pre = x$pre,
+    fit = workflows:::new_stage_fit(),
+    post = x$post,
+    trained = FALSE
+  )
+}
+
+#' @rdname Add_model
+#' @export
+Update_model.epi_workflow <- function(x, spec, ..., formula = NULL) {
+  rlang::check_dots_empty()
+  x <- Remove_model(x)
+  Add_model(x, spec, ..., formula = formula)
+}
+
+
+#' @rdname Add_model
+#' @export
+Add_model.workflow <- workflows::add_model
+
+#' @rdname Add_model
+#' @export
+Remove_model.workflow <- workflows::remove_model
+
+#' @rdname Add_model
+#' @export
+Update_model.workflow <- workflows::update_model
+
+
+# Aliases -----------------------------------------------------------------
+
+#' @rdname Add_model
+#' @export
+add_model <- Add_model
+
+#' @rdname Add_model
+#' @export
+remove_model <- Remove_model
+
+#' @rdname Add_model
+#' @export
+update_model <- Update_model
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 20cc8da23..a0edb663e 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -22,20 +22,20 @@ navbar:
   type: light
 
 articles:
-  - title: Get started
-    navbar: ~
-    contents:
-      - epipredict
-      - preprocessing-and-models
-      - arx-classifier
-      - articles/update
+- title: Get started
+  navbar: ~
+  contents:
+  - epipredict
+  - preprocessing-and-models
+  - arx-classifier
+  - update
 
-  - title: Advanced methods
-    contents:
-      - articles/sliding
-      - articles/smooth-qr
-      - articles/symptom-surveys
-      - panel-data
+- title: Advanced methods
+  contents:
+  - articles/sliding
+  - articles/smooth-qr
+  - articles/symptom-surveys
+  - panel-data
 
 repo:
   url:
@@ -78,15 +78,16 @@ reference:
       - smooth_quantile_reg
   - title: Custom panel data forecasting workflows
     contents:
-      - epi_recipe
-      - epi_workflow
-      - add_epi_recipe
-      - adjust_epi_recipe
-      - add_model
-      - predict.epi_workflow
-      - fit.epi_workflow
-      - augment.epi_workflow
-      - forecast.epi_workflow
+    - epi_recipe
+    - epi_workflow
+    - add_epi_recipe
+    - adjust_epi_recipe
+    - Add_model
+    - predict.epi_workflow
+    - fit.epi_workflow
+    - augment.epi_workflow
+    - forecast.epi_workflow
+
   - title: Epi recipe preprocessing steps
     contents:
       - starts_with("step_")
diff --git a/man/add_model.Rd b/man/add_model.Rd
index f1209b95f..6bf6b6b02 100644
--- a/man/add_model.Rd
+++ b/man/add_model.Rd
@@ -1,25 +1,43 @@
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/epi_workflow.R
-\name{add_model}
+% Please edit documentation in R/model-methods.R
+\name{Add_model}
+\alias{Add_model}
+\alias{Remove_model}
+\alias{Update_model}
+\alias{Add_model.epi_workflow}
+\alias{Remove_model.epi_workflow}
+\alias{Update_model.epi_workflow}
+\alias{Add_model.workflow}
+\alias{Remove_model.workflow}
+\alias{Update_model.workflow}
 \alias{add_model}
 \alias{remove_model}
 \alias{update_model}
-\alias{add_model.epi_workflow}
-\alias{remove_model.epi_workflow}
-\alias{update_model.epi_workflow}
 \title{Add a model to an \code{epi_workflow}}
 \usage{
-add_model(x, spec, ..., formula = NULL)
+Add_model(x, spec, ..., formula = NULL)
 
-remove_model(x)
+Remove_model(x)
 
-update_model(x, spec, ..., formula = NULL)
+Update_model(x, spec, ..., formula = NULL)
+
+\method{Add_model}{epi_workflow}(x, spec, ..., formula = NULL)
+
+\method{Remove_model}{epi_workflow}(x)
+
+\method{Update_model}{epi_workflow}(x, spec, ..., formula = NULL)
+
+\method{Add_model}{workflow}(x, spec, ..., formula = NULL)
 
-\method{add_model}{epi_workflow}(x, spec, ..., formula = NULL)
+\method{Remove_model}{workflow}(x)
 
-\method{remove_model}{epi_workflow}(x)
+\method{Update_model}{workflow}(x, spec, ..., formula = NULL)
 
-\method{update_model}{epi_workflow}(x, spec, ..., formula = NULL)
+add_model(x, spec, ..., formula = NULL)
+
+remove_model(x)
+
+update_model(x, spec, ..., formula = NULL)
 }
 \arguments{
 \item{x}{An \code{epi_workflow}.}
@@ -45,6 +63,12 @@ Add a model to an \code{epi_workflow}
 \details{
 Has the same behaviour as \code{\link[workflows:add_model]{workflows::add_model()}} but also ensures
 that the returned object is an \code{epi_workflow}.
+
+This family is called \verb{Add_*} / \verb{Update_*} / \verb{Remove_*} to avoid
+masking the related functions in \code{{workflows}}. We also provide
+aliases with the lower-case names. However, in the event that
+\code{{workflows}} is loaded after \code{{epipredict}}, these may fail to function
+properly.
 }
 \examples{
 jhu <- case_death_rate_subset \%>\%
@@ -61,24 +85,24 @@ rf_model <- rand_forest(mode = "regression")
 
 wf <- epi_workflow(r)
 
-wf <- wf \%>\% add_model(rf_model)
+wf <- wf \%>\% Add_model(rf_model)
 wf
 
 lm_model <- parsnip::linear_reg()
 
-wf <- update_model(wf, lm_model)
+wf <- Update_model(wf, lm_model)
 wf
 
-wf <- remove_model(wf)
+wf <- Remove_model(wf)
 wf
 }
 \seealso{
 \code{\link[workflows:add_model]{workflows::add_model()}}
 \itemize{
-\item \code{add_model()} adds a parsnip model to the \code{epi_workflow}.
-\item \code{remove_model()} removes the model specification as well as any fitted
+\item \code{Add_model()} adds a parsnip model to the \code{epi_workflow}.
+\item \code{Remove_model()} removes the model specification as well as any fitted
 model object. Any extra formulas are also removed.
-\item \code{update_model()} first removes the model then adds the new
+\item \code{Update_model()} first removes the model then adds the new
 specification to the workflow.
 }
 }
diff --git a/vignettes/articles/update.Rmd b/vignettes/update.Rmd
similarity index 95%
rename from vignettes/articles/update.Rmd
rename to vignettes/update.Rmd
index fd18d4353..cb19ce192 100644
--- a/vignettes/articles/update.Rmd
+++ b/vignettes/update.Rmd
@@ -39,8 +39,8 @@ add/remove/update an `epi_recipe` or a step in it. For this, we have
 `add_epi_recipe()`, `update_epi_recipe()`, and `remove_epi_recipe()` to
 add/update/remove an entire `epi_recipe` in an `epi_workflow` as well as
 `adjust_epi_recipe()` to adjust a particular step in an `epi_recipe` or
-`epi_workflow` by the step number or name. For a model, one may `add_model()`,
-`update_model()`, or `remove_model()` in an `epi_workflow`. For post-processing,
+`epi_workflow` by the step number or name. For a model, one may `Add_model()`,
+`Update_model()`, or `Remove_model()` in an `epi_workflow`.[^1] For post-processing,
 where the goal is to update a frosting object or a layer in it, we have
 `add_frosting()`, `remove_frosting()`, and `update_frosting()` to
 add/update/remove an entire `frosting` object in an `epi_workflow` as well as
@@ -51,9 +51,14 @@ processing step is shown by the following table:
 |                            | Add/update/remove functions                                | adjust functions    |
 |----------------------------|------------------------------------------------------------|---------------------|
 | Pre-processing  | `add_epi_recipe()`, `update_epi_recipe()`, `remove_epi_recipe()` | `adjust_epi_recipe()` |
-| Model specification        | `add_model()`, `update_model()` `remove_model()`                 |                     |
+| Model specification        | `Add_model()`, `Update_model()` `Remove_model()`                 |                     |
 | Post-processing | `add_frosting()`, `remove_frosting()`, `update_frosting()`       | `adjust_frosting()`   |
 
+[^1]: We capitalize these names to avoid possible clashes with the `{workflows}`
+versions of these functions. The lower-case versions are also available,
+however, if you load `{workflows}` after `{epipredict}`, these will be masked
+and may not work as expected.
+
 Since adding/removing/updating frosting as well as adjusting a layer in a
 `frosting` object proceeds in the same way as performing those tasks on an
 `epi_recipe`, we will focus on implementing those for an `epi_recipe` in this
@@ -162,16 +167,16 @@ point - Any operations performed using the old recipe are not updated
 automatically. So we should be careful to fit the model using the new recipe,
 `r2`. Similarly, if predictions were made using the old recipe, then they should
 be re-generated using the version `epi_workflow` that contains the updated
-recipe. We can use `update_model()` to replace the model used in `wf`, and then
+recipe. We can use `Update_model()` to replace the model used in `wf`, and then
 fit as before:
 
 ```{r}
 # fit linear model
-wf <- update_model(wf, parsnip::linear_reg()) %>% fit(jhu)
+wf <- Update_model(wf, parsnip::linear_reg()) %>% fit(jhu)
 wf
 ```
 
-Alternatively, we may use the `remove_model()` followed by `add_model()`
+Alternatively, we may use the `Remove_model()` followed by `Add_model()`
 combination for the same effect.
 
 ## Add/update/remove a `frosting` object in an `epi_workflow`