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How to Build Your Own Deep Research

Blog post from PromptLayer

Post Details
Company
Date Published
Author
Jonathan Pedoeem
Word Count
1,533
Company Posts That Month
8
Language
English
Hacker News Points
-
Summary

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.

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