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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 3 | 7,655 | 1,347 | 245 | +22% |
| Reinforcement learning | 3 | 98 | 52 | 31 | +23% |
| AI Agents | 1 | 6,829 | 1,441 | 261 | +10% |
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