OpenAI Deep Research

OpenAI Deep Research is an advanced agentic capability within ChatGPT designed to handle multi-step, complex research tasks that traditionally require several hours of human effort. Unlike standard chatbots that provide immediate but surface-level answers, Deep Research acts as an autonomous analyst. It leverages a version of the o3 model optimized for reasoning, browsing, and data analysis to find, interpret, and consolidate information from across the internet. Key Features: - Autonomous Reasoning: The agent doesn't just search for keywords; it reasons through the information it finds, pivoting its search strategy as it encounters new data to ensure the most relevant results. - Massive Data Synthesis: It can analyze hundreds of online sources, including text, images, and PDFs, to create a well-documented work product. - Transparent Citations: Every report includes clear citations and a summary of the agent’s 'thinking' process, allowing users to verify facts and trace information back to the original source. - Deep Exploration: Specifically designed for 'needle-in-a-haystack' queries, it excels at finding niche or non-intuitive information that simple search engines might miss. - Contextual Support: Users can upload files or spreadsheets to provide the agent with specific context or data to include in its research process. Deep Research is particularly valuable for professionals in finance, science, policy, and engineering, as well as for consumers making complex purchase decisions. It bridges the gap between quick summaries and professional-grade research reports, providing a level of depth and verification that standard AI models cannot match.