Fix intro typo

docs/intro.md

@@ -31,7 +31,7 @@ Our goal is to build an agent system that solves real-world problems by using an
 
 To us, an agent system is an intelligent/cognitive software that can process natural language and execute the tasks it has been programmed to perform. Just like with traditional software, the developer specifies the behavior of the application, and the system is not truly autonomous unless it has been programmed to be so. Programming the system not only helps the agent to carry out its tasks but also allows for the *formalization of the developer's intent*.
 
-Our approach reduces the need for fine-tuning, as we can control the behavior of the system in a deterministic way from end to end. You will **not** find any reactive/MKRL agents in our implementation, unlike in traditional agent frameworks such as LangChain/LangGraph or Llama-Index. Furthermore, our approach enables the system to handle an unlimited number of tools, as we do not allow the system to decide which one to use at each step.
+Our approach reduces the need for fine-tuning, as we can control the behavior of the system in a deterministic way from end to end. You will **not** find any React/MKRL agents in our implementation, unlike in traditional agent frameworks such as LangChain/LangGraph or Llama-Index. Furthermore, our approach enables the system to handle an unlimited number of tools, as we do not allow the system to decide which one to use at each step.
 
 ### Automatic optimization & hybrid vector/graph long-term memory