Update _posts/2025-11-12-agentic-ai-patterns.adoc

Co-authored-by: Clement Escoffier <[email protected]>

Author: mariofusco

_posts/2025-11-12-agentic-ai-patterns.adoc

@@ -177,6 +177,6 @@ UntypedAgent horoscopeAgent = AgenticServices.plannerBuilder()
 
 An agentic system composed of multiple small, specialized agents can often outperform a single large language model–based AI service, and do so at a fraction of the cost. However, using many interoperating agents introduces the challenge of coordinating them effectively to accomplish complex tasks. Different agentic patterns present distinct trade-offs between reliability and flexibility, and no single approach is suitable for all scenarios. This is why a customizable architecture that enables users to define and combine diverse agentic patterns is essential for building truly adaptable AI systems.
 
-By implementing a generic `Planner` interface, LangChain4j enables users to create their own agentic patterns and seamlessly integrate them with existing ones. This flexibility allows for the development of sophisticated agentic systems tailored to specific needs, balancing the strengths of various orchestration strategies.
+By introducing a generic `Planner` interface, LangChain4j empowers users to design their own agentic patterns and seamlessly integrate them with existing ones. This flexibility enables the creation of sophisticated, purpose-driven agentic systems that balance the strengths of different orchestration strategies to meet specific needs.
 
 This also opens the door to users to help enriching the LangChain4j agentic ecosystem, contributing with their own agentic patterns implementations of the `Planner` interface. To this purpose, a https://github.com/langchain4j/langchain4j/tree/main/langchain4j-agentic-patterns[new dedicated module], named `langchain4j-agentic-patterns`, has been added to the LangChain4j project, with the goal of collecting and maintaining a growing set of useful agentic patterns that can be used as building blocks to create complex agentic systems.