diff --git a/R/bunch_request.R b/R/bunch_request.R
index 398a7aa..dc9a7f2 100644
--- a/R/bunch_request.R
+++ b/R/bunch_request.R
@@ -1,12 +1,12 @@
 #' Makes bunch completion requests to the GPT-3 API
 #'
 #' @description
-#' `gpt3_bunch_request()` is the package's main function for rquests and takes as input a vector of prompts and processes each prompt as per the defined parameters. It extends the `gpt3_simple_request()` function to allow for bunch processing of requests to the Open AI GPT-3 API.
+#' `gpt3_bunch_request()` is the package's main function for rquests and takes as input a vector of prompts and processes each prompt as per the defined parameters. It extends the `gpt3_make_request()` function to allow for bunch processing of requests to the Open AI GPT-3 API.
 #' @details
 #' The easiest (and intended) use case for this function is to create a data.frame or data.table with variables that contain the prompts to be requested from GPT-3 and a prompt id (see examples below).
 #' For a general guide on the completion requests, see [https://beta.openai.com/docs/guides/completion](https://beta.openai.com/docs/guides/completion). This function provides you with an R wrapper to send requests with the full range of request parameters as detailed on [https://beta.openai.com/docs/api-reference/completions](https://beta.openai.com/docs/api-reference/completions) and reproduced below.
 #'
-#' For the `best_of` parameter: The `gpt3_simple_request()` (which is used here in a vectorised manner) handles the issue that best_of must be greater than n by setting if(best_of <= n){ best_of = n}.
+#' For the `best_of` parameter: The `gpt3_make_request()` (which is used here in a vectorised manner) handles the issue that best_of must be greater than n by setting `if(best_of <= n){ best_of = n}`.
 #'
 #' If `id_var` is not provided, the function will use `prompt_1` ... `prompt_n` as id variable.
 #'
@@ -93,7 +93,7 @@
 
     print(paste0('Request: ', i, '/', data_length))
 
-    row_outcome = gpt3_simple_request(prompt_input = prompt_var[i]
+    row_outcome = gpt3_make_request(prompt_input = prompt_var[i]
                                       , model = param_model
                                       , output_type = 'complete'
                                       , suffix = param_suffix