How to Build Your Own Deep Research
Blog post from PromptLayer
OpenAI's Deep Research is an autonomous AI tool designed to perform complex, multi-step internet research tasks and produce comprehensive reports, much like a human researcher would, but in a fraction of the time. It excels in strategic planning, task decomposition, and iterative searching while engaging in multi-modal analysis of various content types, including HTML, PDFs, and images. The core of Deep Research is OpenAI's o3 reasoning model, a successor to GPT-4, optimized for maintaining focus through extended reasoning chains using a Plan → Act → Observe → Update cycle. This AI agent also features capabilities for executing code to analyze data, ensuring its outputs are thorough, well-structured, and fully cited, with the ability to backtrack, pivot, and verify sources when necessary. Although computationally expensive, Deep Research represents a significant advancement in AI-driven knowledge work, capable of handling research tasks that traditionally require extensive human effort, thereby providing a blueprint for developers to build their own AI research assistants.
No tracked trend matches for this post yet.