deep-research

You can automate multi-step research by executing autonomous tasks that plan, search, read, and synthesize information into detailed, cited markdown reports. This approach manages interaction states and streams progress to handle comprehensive analysis.

Yes, the Gemini API supports autonomous market analysis, due diligence, and technical literature reviews. It executes complex research tasks that iterate on queries and synthesize comprehensive findings into structured reports.

To run autonomous research tasks, you need Python 3.8 or higher, the httpx library, python-dotenv, and a valid GEMINI_API_KEY environment variable for API authentication. These components enable the agent to execute multi-step research.

Autonomous research handles progress monitoring by providing real-time streaming of thoughts and progress updates. This allows users to track the synthesis process and submit follow-up questions to refine the generated report results.

The best way to conduct due diligence without manual searching is using an autonomous research agent. It automates the planning and execution of complex queries, synthesizing multiple sources into comprehensive cited markdown reports.

Limitations of using an AI agent for multi-step research include the dependency on a valid GEMINI_API_KEY for authentication and the requirement of Python 3.8+ with the httpx library, which necessitates a configured local environment.