Opera Neon’s AI researcher does in one minute what used to take a dozen tabs

Opera Neon Deep Research
(Image credit: Opera)

  • Opera Neon’s new update includes a 1-minute Deep Research mode that delivers reports at top speed
  • Users can also switch between AI models like Gemini 3 Pro and Nano Banana Pro mid-task
  • The update also enables the “Do” agent to create and edit Google Docs automatically based on your prompts

Opera’s agentic browser experiment, Opera Neon, just launched a feature that may redefine how you research anything online. The new 1-minute research mode for its Opera Deep Research Agent (ODRA), gives users the ability to generate full, citation-backed mini-reports in, as the name suggests, about 60 seconds.

The update marks one of the most tangible attempts yet to streamline online research through AI, delivering just-enough depth without sending you down a hyperlink rabbit hole. And while the feature is currently limited to early-access users of Opera Neon, the implications could extend far beyond a niche power-user crowd. If you’ve ever found yourself juggling 10 tabs, a notepad, and a vague feeling of academic guilt just to compare new phones, this one’s for you.

ODRA doesn’t replace ChatGPT-style conversation or content creation. Instead, it lives alongside Opera Neon’s existing “Chat,” “Do,” and “Make” agents. It offers a small, efficient, multi-threaded AI researcher that parallelizes the task, divides it up, assigns it to virtual teammates, and reassembles a unified answer. You ask the question. It brings back the brief.

The new one-minute mode offers something in-between a casual AI answer and a full deep-dive: fast enough to keep your momentum going, rigorous enough that you’re not relying on a chatbot hallucination. Opera describes it as the sweet spot for moments when you don’t need an entire white paper, but you also don’t want to rely on a single Reddit thread to decide if that new washing machine is worth the money.

Unlike most AI tools baked into browsers, which stick to summarizing content on the page or offering light suggestions, ODRA pulls from multiple sources on the open web. It also makes sure to include citations.

Claude power

That’s not all that dropped in this latest update. Opera Neon now includes a new model selector, letting users swap between top AI systems on the fly, including Google’s Gemini 3 Pro and Nano Banana Pro. You can start a session using one model, then change without losing your chat history or its understanding of your task. It’s a small tweak with big usability implications, especially for people who are beginning to notice that not all AI models excel at the same things.

And while ODRA might be the big story, Neon’s “Do” agent has been upgraded, too. It now works natively with Google Docs. If you ask Neon to write a report comparing electric cars, it can now not only research the topic but also drop it into a properly formatted Google Doc, title and all. From there, you can edit, share, or ask Neon to revise it, rename the file, or append new research later.

Opera has positioned Neon as a sandbox for experimental features that might be too advanced or opinionated for its mainstream products. While its flagship browser, Opera One, still caters to a broad audience, Neon is targeted at power users who want the browser to do more than passively open content.

With agents that write, revise, generate images, research in depth, and execute tasks in external services, Neon increasingly behaves like a frontend for task delegation, not just browsing. Its ability to switch agents or models mid-task makes it feel more fluid than the growing number of single-purpose AI add-ons populating other browsers.

The broader implication is that AI’s future may not live in your chatbox but in your browser. Opera Neon’s 1-minute research agent is an early prototype of a shift to where AI doesn’t just offer commentary on content, but becomes an interface layer between you and the web itself.


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Eric Hal Schwartz
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Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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