Google Enhances Opal AI Platform with New Autonomous Agents

Google Updates Opal Platform with New Gemini-Powered AI Agents

Google has expanded the capabilities of its AI platform Opal, adding new agents that automate complex workflows without requiring any code. The updated platform runs on the Gemini 3 Flash model as the backbone for intelligent agents capable of independently executing tasks and building multi-step action chains.

The update targets users who want to automate everyday processes — from data processing to project management — without hiring developers. The no-code approach makes the platform accessible to a wide range of professionals, including marketers, analysts, and managers.

What Opal's New AI Agents Can Do

The AI agents integrated into Opal are designed for automatic workflow automation. Users simply describe their goal in plain language, and the agent builds the required sequence of actions on its own. Key capabilities of the updated platform include:

• Automatic workflow creation — agents independently construct action sequences based on natural-language user prompts.
• Zero coding required — users don't need to write code or have any programming knowledge to set up complex automations.
• Built on Gemini 3 Flash — agents leverage one of Google's newest models, delivering high speed and accuracy in task execution.

This approach fits squarely into the broader tech industry trend toward autonomous AI agents — systems that don't just answer questions but actively carry out actions on a user's behalf. That's a fundamental shift from traditional chatbots: Opal's agents can initiate chains of operations, make intermediate decisions, and adapt their behavior based on the outcome of each step.

Opal, our no-code visual builder for AI workflows, just got a major upgrade. 🧠💎We've added a new agent step that analyzes your goal, determines the best approach, and automatically calls the right tools — such as Veo for video or web search for research — to complete the… pic.twitter.com/QnKlG0b4ZJ — Google Labs (@GoogleLabs), February 24, 2026

The system integrates with various Google services, from Google Sheets for persistent data storage between sessions to web search tools for research tasks. It also supports Veo model integration for video content generation. A standout feature of the new agents is their interactive design — when they lack sufficient information, they ask users for additional data or suggest alternative paths forward, creating a more natural conversational interface for managing automations.

Other major companies are pursuing the same direction. Samsung, for instance, integrated AI agents into its Galaxy S26 smartphone, turning it into a full-fledged digital assistant capable of autonomously handling tasks for its owner.

Gemini 3 Flash — The Engine Behind the New Agents

The choice of Gemini 3 Flash as the core model for Opal's AI agents was deliberate. This model from the Gemini family is optimized for rapid task execution while maintaining high accuracy — a critical requirement for real-time workflow automation.

Google has been aggressively expanding its neural network product ecosystem. The company recently unveiled the Nano Banana 2 neural network and an updated video service called Flow, signaling the breadth of its AI ambitions.

Opal Platform Evolution

The Opal platform was first announced in July 2025 as a tool for creating and enhancing mini-applications. In December, the service was integrated into Gemini's web version, expanding the visual editor's capabilities.

This update arrives amid intensifying competition in the no-code AI development space. Major players in the market include Lovable, Replit, and projects like Wabi, Emergent, and Rocket.new. Large AI companies are also pushing into this territory — OpenAI offers Codex, while Anthropic recently introduced "agent teams" for Claude Opus 4.6.

The integration of agents into Opal lowers the barrier for complex AI application development, opening it up to users without technical backgrounds. This could accelerate AI adoption across business processes and fuel growth in the broader no-code solutions ecosystem.