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Technology giant Google has recently launched two of its own research intelligent agents, Deep Research and Deep Research Max, based on the Gemini 3.1 Pro model. These tools are designed to replace humans in intensive information collection and analysis tasks through automated workflows, marking a shift of AI assistants from simple Q&A to complex task execution.
Currently, these two agents are available for preview through the paid version of the Gemini API for developers. They can not only retrieve information from public web pages but also access internal private company databases, providing users with in-depth analysis reports that include complete source references.
Flexible dual versions, balancing speed and depth of research
To meet different office needs, Google has introduced two versions. The standard version, Deep Research, focuses on low latency and high response speed, suitable for conversation interfaces that require immediate feedback; while the Max version prioritizes depth, using longer computing time for logical reasoning and iterative processing.
In practical applications, Deep Research Max is more like a digital analyst who works overnight. It can process complex due diligence tasks asynchronously in the background and deliver a well-structured, evidence-based final report to the analysis team the next morning, greatly freeing up human resources.
Supports MCP protocol, breaking down private data silos
A major highlight of this update is support for the Model Context Protocol (MCP). This means developers can connect the agents to specific financial, market, or industry-specific databases. By independently querying professional data sources, the agents transition from mere "search engines" to digital employees capable of handling vertical domain knowledge.
Additionally, the system has strong visualization capabilities, generating native charts and infographics directly within reports. Before starting a research project, users can collaborate with the AI to develop a search plan, ensuring accurate research direction. This combination of features indicates that the barriers to professional research will further decrease in the future.