Deep Research
Deep Research and AI agents
Deep Research is ChatGPT's multi-turn research agent — it autonomously searches, reads, synthesizes, and cites its way to a structured 5–30 minute report. This channel covers how it works, when to use it, prompt patterns, citation-verification methods, and Plus/Pro quota strategy.
7 article(s) total
What you'll learn in this channel
These are the core topics this channel covers. Each featured article unpacks several of them in depth.
- How it works
- When to use it
- Prompt patterns
- Citation verification
- Plus / Pro quota
- Export & collaboration
Measuring AI R&D Pace Inside a Frontier Lab: Anthropic's Three Self-Reported Metrics
Anthropic's Sept 17 post proposes three self-reported metrics: an R&D automation index (Claude leads 26% of AI R&D), agent oversight (0.002% of 1B+ decisions blocked), and safety compute (about 6%/12%), with methodology and limitations.
Read articleHumanity's Last Exam Explained: Where 2,500 Frontier Questions Come From and How to Read the Scores
HLE is the most-cited frontier reasoning benchmark: 2,500 cross-disciplinary questions finalized 2025-04-03 after bounty cleanup, published in Nature 2026-01-28, with a dynamic HLE-Rolling variant. Origins, dual scoring, citation rules.
Read articleHow to Read the Benchmark Charts in a Model Launch: Effort Curves, Log Cost Axes, and Safeguard Interventions
Model-launch accuracy-vs-cost charts carry hidden methodology choices. Worked on the 2026-09-01 Claude Fable 5.1 announcement: effort curves, log axes, error bars, scoring conventions, missing cells, safeguard zero-scores.
Read articleDeep Research multi-model: GPT-5.6 vs Claude 4.5 vs Gemini 2.5 + third-party research tools
Deep Research across GPT-5.6 / Claude 4.5 / Gemini 2.5 - 6 real scenario tests + vs Elicit / Consensus / Perplexity. Which DR for which scenario, when to use third-party tools, decision matrix included.
Read articleDeepResearch Output Quality Control: Model Selection, Prompt Tuning, and Citation Verification
DeepResearch output quality varies. A systematic QC path: model selection (Plus vs Pro vs o-series), the 5-part research prompt, citation verification checklist, and the iteration feedback loop.
Read articleDeep Research Prompt Patterns and Quota Strategy: High-Quality Research Reports
Deep Research is ChatGPT's multi-turn research Agent. A 5-part research prompt template, citation verification methods, Plus/Pro quota strategy, and 4 typical research scenarios.
Read articleDeep Research guide: autonomous multi-step research in ChatGPT
How Deep Research works, when to use it, how to write a good brief, and how to verify the citations it returns.
Read article