"Powered by the Gemini 3 Flash model, the new agent in Opal enables autonomous workflows that plan, reason, and execute on the user's behalf. Now, instead of manually picking a model, developers can select an agent in the generate step. The agent then triggers the right tools and models, such as Web Search for research or Veo for video, needed to accomplish the user's intended mission."
"With persistent memory, the agent can use Google Sheets to remember information across sessions, such as style preferences or ongoing lists, thus making mini-apps smarter the more they are used. With dynamic routing, the agent evaluates work and decides which steps to trigger next, bringing autonomy to mini-apps. With interactive chat, the agent can initiate a chat with the user to gather missing information or offer choices before moving to a plan's next stage."
Google introduced an agent step to its Opal tool for building AI-powered mini-apps, available to all users as of February 24. Powered by Gemini 3 Flash, this agent transforms static model calls into autonomous workflows. Developers can select an agent in the generate step, which automatically triggers appropriate tools and models like Web Search or Veo based on user needs. The agent leverages persistent memory using Google Sheets to retain information across sessions, enabling mini-apps to improve with use. Dynamic routing allows the agent to evaluate work and autonomously determine next steps, while interactive chat enables the agent to gather missing information or present choices before proceeding.
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