# May 2025 ### **May 2024 Release Notes** #### **New Features** **Enhanced Copilot Workflow Generation** We're excited to announce significant improvements to our AI-powered workflow generation system. The Copilot now creates more intelligent, connected workflows that better understand your business requirements. * **Smart Node Connections**: Improved logic for connecting workflow nodes automatically * **Context-Aware Generation**: Better understanding of user intent when creating complex workflows * **Validation & Error Handling**: Enhanced error detection and automatic correction during workflow generation * **Template Recognition**: Improved ability to generate workflows from natural language descriptions **Knowledge Base Integration** Introducing our new Knowledge system that allows you to define and store information within your workflows for enhanced context-aware processing. * **Dynamic Knowledge Nodes**: Store and reference important information across your workflows * **Contextual Retrieval**: Automatically pull relevant information based on workflow context * **Searchable Knowledge Base**: Quickly find and reference stored information * **Integration Ready**: Seamlessly works with existing workflow components #### **Improvements** * **Canvas Navigation**: Smoother panning and zooming experience in the workflow builder * **Node Discovery**: Enhanced node palette with better categorization and search functionality * **Performance Optimizations**: 20% faster workflow execution across the platform * **UI Polish**: Refined interface elements for better user experience #### **Bug Fixes** * Fixed issue where Copilot occasionally generated disconnected workflow nodes * Resolved canvas jumping behavior during workflow generation * Improved stability for complex workflow scenarios * Fixed variable completion suggestions scrolling behavior --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.lleverage.ai/support/release-notes/may-2025.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.