Google Adds Automated Workflow Agents to Opal: What It Does?

Key Highlights:

  • Opal’s global rollout continues as competition heats up in vibe-coding platforms.
  • Google adds automated workflow agents to Opal, enabling text-based task planning and execution.
  • The new agent runs on Gemini 3 Flash and selects tools like Google Sheets automatically.
  • Users can build interactive mini-apps without coding or technical knowledge.

Google has added a new automated workflow feature to Opal, its vibe-coding platform that lets users build apps using plain text. Announced on Tuesday, the update introduces an agent inside Opal that can plan, execute, and adapt tasks on its own. The move pushes Google deeper into the fast-growing space of no-code, AI-driven app creation.

The new agent allows users to create mini-apps that handle multi-step workflows through simple prompts. Instead of manually defining logic or tools, users describe what they want to build. The agent then decides how to complete the task, chooses the right tools, and moves step by step toward execution.

This marks a shift from static app building to dynamic, agent-driven workflows inside Opal.

What exactly did Google add to Opal?

The latest update adds an automated workflow agent that acts as the brain of an Opal mini-app. Users type a goal in natural language. The agent plans the steps, executes actions, and adjusts when conditions change.

Google says the agent can:

  • Break a task into steps
  • Decide which Google tools to use
  • Maintain memory across sessions
  • Ask follow-up questions when needed

For example, a user can build a shopping assistant app. The agent can store a shopping list in Google Sheets, update it over time, and refer back to it later without being reconfigured.

This turns Opal apps into living systems rather than one-time scripts.

How Gemini 3 Flash powers these workflows

The agent is built on Gemini 3 Flash, Google’s lightweight and fast AI model designed for real-time tasks. Instead of relying on a single function, the model dynamically selects tools during execution.

If a workflow needs memory, it may use Google Sheets.
If it needs structured input, it may prompt the user.
If a step is unclear, it pauses and asks for clarification.

Google says this tool selection happens automatically. Users do not need to understand APIs, databases, or orchestration logic.

This design lowers the barrier for non-technical users while still supporting complex workflows.

Why “natively interactive” agents matter

Google describes these new Opal agents as natively interactive. This means the agent does not fail silently when it lacks information.

Instead, it:

  • Asks users to provide missing details
  • Offers choices for next steps
  • Adjusts execution based on responses

For example, if an app needs a budget limit or a delivery date, the agent can pause and ask before continuing. This interaction model mirrors how a human assistant would work.

According to Google, this approach allows people without technical backgrounds to build apps that previously required developers.

Opal’s journey from U.S.-only to global tool

Opal first launched in the U.S. in July 2025 as an experiment in vibe-coding. The idea was simple. Anyone could create or remix mini web apps using prompts and visual building blocks.

In October 2025, Google expanded Opal to 15 more countries. The list included India, Canada, Japan, South Korea, Vietnam, Indonesia, Brazil, and Singapore.

By November, Opal reached more than 160 countries.
In December, Google integrated Opal directly into the Gemini web app. This allowed users to build custom apps using a visual editor, without writing code.

The new agent feature builds on that momentum and signals Google’s long-term plans for Opal.

How Opal compares with other vibe-coding platforms

Google is not alone in this space. Several startups are racing to simplify app creation using natural language.

Popular tools include:

  • Lovable
  • Replit

Newer entrants are also gaining attention:

  • Wabi, founded by a former Replika founder
  • Emergent, backed by SoftBank and Lightspeed
  • Rocket.new, backed by Accel

What sets Google apart is deep integration with its ecosystem. Tools like Sheets, Docs, and Gemini models are already widely used. Opal’s agent can tap into them natively.

This gives Google an advantage in memory handling, scale, and cross-product workflows.

Why Google’s Opal update matters right now

The addition of automated agents reflects a broader shift in how apps are built. Users no longer want to design flows step by step. They want to describe outcomes and let AI handle execution.

By embedding agentic behavior into Opal, Google positions the platform as more than a no-code builder. It becomes a task planner, executor, and collaborator. For creators, small teams, and non-developers, this could change how software gets built.

As competition grows, Google’s focus on interaction, memory, and tool autonomy could shape the next phase of vibe-coding platforms. In the conclusion, Google’s move shows how fast app creation is evolving, with Opal becoming a key experiment in agent-driven workflows.


84 Views