The Advanced Web Research AI Agent answers open-ended questions by exploring the web, gathering sources, synthesizing findings, and returning detailed reports with citations. It uses reasoning models to decompose tasks into one or more research steps, searches the entire web, and operates a multi-step pipeline to generate final reports.
To get optimal results, do not just post a keyword, but formulate an actual open-ended question you want answered and provide the agent with some context about why you need this information.
Open-Ended Question Examples:
- Estimate the total global market size (USD) for battery recycling in 2030 with a clear methodology.
- Build a timeline of major OpenAI product releases from 2015 – 2023.
- Compare the current flagship GPUs from NVIDIA, AMD, and Intel and extract pricing, TDP, and release date.
The response includes both the generated answer and the sources used to create it. This is not an in-depth research study of the topic, but is based on a very quick semantic web search.
System Limitations:
- All reports and analyses you receive are AI-generated outputs and are not reviewed by a human
- Source accessibility: Cannot access paywalled content, private databases, or subscription-required sources
Data Processing:
- This AI Agent does not have an active long-term memory and does not store any data after the execution of your request finishes.
- No personal identifiers are saved by the AI Agent or shared with third parties to answer your question