DeepAgents utilizes a web interface design based on the Gradio framework, which encapsulates complex technical implementations behind clean user interactions. The interface is minimalist in appearance, but supports rich professional-grade analysis command input and structured report presentation.
Core Interaction Features:
- Natural language instructions:Users can describe the analysis requirements in complete sentences, such as "Conduct a comprehensive analysis of Apple Inc. for a 6-month investment horizon, including financial performance, technical signals, risk assessment, and price targets"
- Layered report presentation:Analysis is organized in summary, fundamental, technical and risk modules, maintaining a logical structure similar to that of professional investment banking reports
- Responsive Interaction:Users can add dimension-specific in-depth queries to the initial analysis, such as "Detailed description of AAPL's cash flow risk"
Behind the interface is connected DeepAgents' multi-intelligence body engine, which automatically parses user commands into system tasks, assigns them to individual sub-intelligences for execution, and finally summarizes the results. Although the interface is simple to operate, the complexity of the analytic tasks handled is equivalent to the work of a team of analysts.
Compared with the complex operation interface of traditional financial terminals, this design significantly reduces the threshold of use, so that individual investors can also conveniently access professional-level analysis services. For professional users, the system supports the direct call of the underlying functions through the configuration file to meet the demand for automated batch processing.
This answer comes from the articleDeepAgents: an AI Intelligence for Professional-Grade Equity ResearchThe