diff --git a/features/supportedLLMs/BYOLLM.mdx b/features/supportedLLMs/BYOLLM.mdx
index 73554f7..044e24a 100644
--- a/features/supportedLLMs/BYOLLM.mdx
+++ b/features/supportedLLMs/BYOLLM.mdx
@@ -23,7 +23,7 @@ After installing and configuring your own LLM provider, you should be able to st
 **Note:** If the provided URL (e.g., `http://localhost:8080/v1/chat/completions`) doesn't work, try removing the `/chat/completions` directories from the end of the URL or using just the hostname and port (e.g., `http://localhost:8080`). This often resolves compatibility issues and allows Wave AI to communicate with your LLM provider successfully.
 
 ### Configuring via the UI
-To configure your own LLM provider from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
+To configure your own LLM provider from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
 
 ### Configuring via the CLI
 To configure your own LLM provider using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
diff --git a/features/supportedLLMs/llamacpp.mdx b/features/supportedLLMs/llamacpp.mdx
index 4a8c7d5..7dd9490 100644
--- a/features/supportedLLMs/llamacpp.mdx
+++ b/features/supportedLLMs/llamacpp.mdx
@@ -26,7 +26,7 @@ After installing and configuring the llama.cpp server, you can start using it in
 - **AI Base URL:** Set this parameter to the base URL or endpoint that Wave AI should query. For llama.cpp servers running locally, use http://localhost:8080. Please note that the port number `8080` may be different depending on your specific installation. For remote llama.cpp server instances, replace `localhost` with the appropriate hostname or IP address of the server where llama.cpp is running. If the port number is different from the default `8080`, update it accordingly in the URL.
 
 ### Configuring via the UI
-To configure llama.cpp from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` parameter as described in the previous section.
+To configure llama.cpp from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` parameter as described in the previous section.
 
 ### Configuring via the CLI
 To configure llama.cpp using the command line, set the `aibaseurl` parameter using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
diff --git a/features/supportedLLMs/localai.mdx b/features/supportedLLMs/localai.mdx
index 6169937..f15f4f9 100644
--- a/features/supportedLLMs/localai.mdx
+++ b/features/supportedLLMs/localai.mdx
@@ -25,7 +25,7 @@ After installing and configuring LocalAI, you can start using it in Wave by sett
     Example: http://localhost:8080/v1/models.
 
 ### Configuring via the UI
-To configure LocalAI from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
+To configure LocalAI from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
 
 ### Configuring via the CLI
 To configure LocalAI using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.
diff --git a/features/supportedLLMs/ollama.mdx b/features/supportedLLMs/ollama.mdx
index 2c89726..42bc382 100644
--- a/features/supportedLLMs/ollama.mdx
+++ b/features/supportedLLMs/ollama.mdx
@@ -21,7 +21,7 @@ After installing and configuring Ollama, you can start using it in Wave by setti
 - **AI Model**: Specify the Ollama model you want to use. This can be any "pulled" model in Ollama and doesn't need to be actively running. To discover available models, use the `ollama list` command in your terminal.
 
 ### Configuring via the UI
-To configure Ollama from the Wave AI user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
+To configure Ollama from Wave's user interface, navigate to the "Settings" menu and set the `AI Base URL` and `AI Model` parameters as described in the previous section.
 
 ### Configuring via the CLI
 To configure Ollama using the command line, set the `aibaseurl` and `aimodel` parameters using the [/client:set](/reference/slashcommands#client-set) command, as shown in the example below.