Google Labs Upgrades Opal With AI Agent Step That Turns Static Workflows Into Dynamic, Interactive Experiences
Summary
Google Labs upgrades Opal with a new AI agent step that transforms static workflows into dynamic, interactive experiences by autonomously selecting tools, retaining memory across sessions, and enabling real-time follow-up conversations to better achieve user goals.
Key Points
- Google Labs is launching a new agent step in Opal that transforms static workflows into dynamic, interactive AI-powered experiences by autonomously selecting the best tools and models to achieve a user's goal.
- The agent step introduces powerful new capabilities including memory that retains user preferences across sessions, dynamic routing that directs workflows based on custom logic, and interactive chat that allows the agent to ask follow-up questions to gather missing information.
- Opal now balances ease of use with advanced control, enabling new users to benefit from self-correcting AI automation while allowing power users to still access fixed, precision-based workflow steps for more rigid logic requirements.