diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/openai-chat-functions.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/openai-chat-functions.adoc
index d3cf341bf..7f74dc4a3 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/openai-chat-functions.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/openai-chat-functions.adoc
@@ -9,7 +9,7 @@ The OpenAI API does not call the function directly; instead, the model generates
 Spring AI provides flexible and user-friendly ways to register and call custom functions.
 In general, the custom functions need to provide a function `name`,  `description`, and the function call `signature` (as JSON schema) to let the model know what arguments the function expects.  The `description` helps the model to understand when to call the function.
 
-As a developer, you need to implement a functions that takes the function call arguments sent from the AI model, and respond with the result back to the model.  Your function can in turn invoke other 3rd party services to provide the results.
+As a developer, you need to implement a function that takes the function call arguments sent from the AI model, and respond with the result back to the model.  Your function can in turn invoke other 3rd party services to provide the results.
 
 Spring AI makes this as easy as defining a `@Bean` definition that returns a `java.util.Function` and supplying the bean name as an option when invoking the `ChatClient`.