---
variant: detail
kind: inputs
slug: openai-deep-research
url: /inputs/openai-deep-research
title: Introducing deep research
source_path: content/inputs/openai-deep-research.md
frontmatter:
  title: Introducing deep research
  url: 'https://openai.com/index/introducing-deep-research/'
  source: OpenAI
  consumed: '2026-07-01T00:00:00.000Z'
  note: >-
    OpenAI describes deep research as an agentic capability for multi-step web
    research that independently searches, analyzes, synthesizes, and cites
    sources over tens of minutes.
  tags:
    - openai
    - research
    - agents
    - prompting
agent_metadata:
  source_path: content/inputs/openai-deep-research.md
  html_url: /inputs/openai-deep-research
  markdown_url: /inputs/openai-deep-research.md
  source_url: >-
    https://github.com/flaming-codes/thinkinglabs/blob/main/content/inputs/openai-deep-research.md
  summary: >-
    Deep research is a concrete example of an asynchronous research discipline:
    the prompt launches a search trajectory, not merely a response. The human's
    job shifts toward scoping the question, auditing citations, and deciding
    whether the ...
  word_count: 110
  approx_token_count: 223
  token_estimate: chars/4
---
Deep research is a concrete example of an asynchronous research discipline: the prompt launches a search trajectory, not merely a response. The human's job shifts toward scoping the question, auditing citations, and deciding whether the synthesis actually supports the conclusion.