Developed a usability enhancement for the Sema4AI/gallery repository by introducing the ask_agent function, which streamlines agent interaction and improves workflow efficiency. Focused on Python development and API integration, the work addressed agent name resolution by adding intelligent suggestions for non-exact matches, reducing friction for users when specifying agent names. The update included comprehensive documentation revisions in Markdown to clearly outline new usage patterns and API changes, ensuring clarity for future contributors. No major bugs were addressed during this period, as the primary emphasis remained on feature delivery and refining the developer experience within the agent connector component of the project.