diff --git a/r/.Rbuildignore b/r/.Rbuildignore
index 91114bf..d97a80b 100644
--- a/r/.Rbuildignore
+++ b/r/.Rbuildignore
@@ -1,2 +1,14 @@
 ^.*\.Rproj$
 ^\.Rproj\.user$
+^.*\.csv
+^.*\.qmd
+^LICENSE\.md$
+^\.github$
+^codecov\.yml$
+^utils
+^_pkgdown\.yml$
+^docs$
+^pkgdown$
+^cran-comments\.md$
+^CRAN-SUBMISSION$
+^_readme_cache$
diff --git a/r/DESCRIPTION b/r/DESCRIPTION
index afba4e6..5dad71d 100644
--- a/r/DESCRIPTION
+++ b/r/DESCRIPTION
@@ -1,17 +1,19 @@
 Package: mall
 Title: Run multiple 'Large Language Model' predictions against a table, or 
     vectors
-Version: 0.0.0.9007
-Authors@R: 
-    person("Edgar", "Ruiz", , "first.last@example.com", role = c("aut", "cre"))
+Version: 0.1.0
+Authors@R: c(
+  person("Edgar", "Ruiz", , "edgar@posit.co", role = c("aut", "cre")),
+  person(given = "Posit Software, PBC", role = c("cph", "fnd"))
+  )
 Description: Run multiple 'Large Language Model' predictions against a table. The
     predictions run row-wise over a specified column. It works using a pre-determined
-    one-shot prompt, along with the current row's content. The prompt that is use 
+    one-shot prompt, along with the current row's content. The prompt that is used
     will depend of the type of analysis needed.
 License: MIT + file LICENSE
 Encoding: UTF-8
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Imports: 
     cli,
     dplyr,
diff --git a/r/R/llm-verify.R b/r/R/llm-verify.R
index 9d66f88..e18069b 100644
--- a/r/R/llm-verify.R
+++ b/r/R/llm-verify.R
@@ -16,24 +16,24 @@
 #' @examples
 #' \dontrun{
 #' library(mall)
-#' 
+#'
 #' data("reviews")
-#' 
+#'
 #' llm_use("ollama", "llama3.2", seed = 100, .silent = TRUE)
-#' 
+#'
 #' # By default it will return 1 for 'true', and 0 for 'false',
 #' # the new column will be a factor type
 #' llm_verify(reviews, review, "is the customer happy")
-#' 
+#'
 #' # The yes_no argument can be modified to return a different response
 #' # than 1 or 0. First position will be 'true' and second, 'false'
 #' llm_verify(reviews, review, "is the customer happy", c("y", "n"))
-#' 
+#'
 #' # Number can also be used, this would be in the case that you wish to match
 #' # the output values of existing predictions
 #' llm_verify(reviews, review, "is the customer happy", c(2, 1))
 #' }
-#' 
+#'
 #' @export
 llm_verify <- function(.data,
                        col,
diff --git a/r/cran-comments.md b/r/cran-comments.md
new file mode 100644
index 0000000..37b4656
--- /dev/null
+++ b/r/cran-comments.md
@@ -0,0 +1,24 @@
+## New submission
+
+This is a new package submission.  Run multiple 'Large Language Model' 
+predictions against a table. The predictions run row-wise over a specified 
+column. It works using a pre-determined one-shot prompt, along with the current 
+row's content. The prompt that is used will depend of the type of analysis 
+needed.
+
+The README file is very short because all the information about how to use it is
+this website: https://mlverse.github.io/mall/. 
+
+## R CMD check environments
+
+- Mac OS M3 (aarch64-apple-darwin23), R 4.4.1 (Local)
+
+- Mac OS x86_64-apple-darwin20.0 (64-bit), R 4.4.1 (GH Actions)
+- Windows  x86_64-w64-mingw32 (64-bit), R 4.4.1 (GH Actions)
+- Linux x86_64-pc-linux-gnu (64-bit), R 4.4.1 (GH Actions)
+- Linux x86_64-pc-linux-gnu (64-bit), R 4.5.0 (dev) (GH Actions)
+- Linux x86_64-pc-linux-gnu (64-bit), R 4.3.3 (old release) (GH Actions)
+
+## R CMD check results
+
+0 errors ✔ | 0 warnings ✔ | 0 notes ✔