"Google has released a new version of Gemini Deep Research. This is an agent designed to automate complex research tasks. The agent runs on Gemini 3 Pro. The model can process handwriting, graphs, and mathematical notation. It incorporates this visual information directly into reports and search queries. As a result, the system can not only search textual sources, but also retrieve data that was previously difficult to automate, according to SiliconANGLE."
"The agent works iteratively and plans its research steps independently. It formulates search queries, evaluates the results found, and determines where information is missing. Google states that the web navigation in this release is better able to penetrate deep into sites. Users can upload documents, which are then automatically scanned for relevant passages. The agent can summarize, interpret, or combine these documents with information from public sources."
"Deep Research is now available through the new Interactions API. This API acts as a central access point for both Gemini models and pre-built agents. Google plans to add additional agents and offer support for custom agents in the future. The API also takes some of the data management off your hands, which means developers spend less time processing and structuring files. Models can also be linked to external systems via MCP."
Gemini Deep Research is an agent running on Gemini 3 Pro that automates complex, iterative research workflows. The model processes handwriting, graphs, and mathematical notation and incorporates visual information directly into reports and search queries. The agent formulates and executes search queries, evaluates results, identifies missing information, and penetrates deep into websites. Users can upload documents for automatic scanning, summarization, interpretation, or combination with public sources. Deep Research is accessible via the Interactions API, which centralizes access to Gemini models and pre-built agents, reduces developer data management, and enables linking models to external systems via MCP. Benchmark results show improved performance.
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