Description

This AI-powered autonomous deep research engine, inspired by the Karpathy AutoResearch project, employs a multi-round autonomous iterative research cycle: information gathering, analysis and verification, 5-dimensional self-assessment, blind spot identification, targeted reinforcement, and continuous iteration until the report meets standards. It supports scenarios such as market research, competitor analysis, technology selection, industry reports, and academic reviews, automatically adapting to 3-8 rounds of research depth. It outputs visual HTML reports with cited sources, including core findings, comparison matrices, scoring radar charts, and actionable recommendations. Each round provides a progress summary, making the research process transparent and visible. It is suitable for creators, entrepreneurs, and researchers who need in-depth understanding of a specific field and to make data-driven decisions.