Genesys Cloud's AI Studio platform provides comprehensive management capabilities for agentic virtual agents through an intuitive interface that enables organizations to design, deploy, and administer sophisticated virtual agents without extensive technical expertise. The platform supports the creation of fully agentic, conversational, and action-oriented agents powered by Large Action Models (LAM) that reason across actions and knowledge, allowing business teams to build intelligent agents tailored to their operational needs. Core functionality includes essential commands—Say, Ask, Ask and Confirm, and Call—that operate across multiple languages while maintaining English command syntax. Guide structure utilizes main steps and substeps with specific formatting requirements using hyphens and proper capitalization. Flow control capabilities encompass If:Then:Else logic, Go To navigation, and Exit commands with configurable status options. The system integrates variables and data actions through "/" key prompts and incorporates a guide checker for syntax validation to ensure proper configuration. Administrative features enable comprehensive agent profile management, including profile picture updates, agent renaming, duplication, and deletion through dedicated dialog boxes. The platform connects with Architect and digital bot flows, supports Journey Management virtual agent events, Agent Copilot transfer summaries, and Virtual Supervisor functionality. Access to agent management functions occurs through Menu > Orchestration > AI Studio > Agentic Virtual Agents, with search functionality available for locating specific agents. Users can view agents in card or table view formats, duplicate agents with new names, delete agents, and rename existing agents. Agent creation and modification workflows allow administrators to copy all settings from a source agent to streamline configuration. Agent display information can be updated by refreshing avatar selections, renaming agents in designated fields, and saving changes. The interface includes search functionality that filters matching agents as text is entered, and modifications can be cancelled to discard changes. Prerequisites require Virtual Agent enablement in the organization and appropriate AI Studio permissions. The platform includes a feedback mechanism for reporting article quality issues and providing positive feedback regarding content clarity and task completion, with additional resources available through community support and related documentation.