Deep Research

Deep Research

What This Does

Conducts comprehensive research on any topic by gathering information from multiple sources in parallel, tracking citations, evaluating source quality, and synthesizing findings into a structured research document. Designed for questions that need more than a quick answer — when you need thorough, well-sourced analysis.

Instructions

1. Clarify the research question. Ask the user to define:

   • The core question or topic
   • Desired depth (overview, detailed, exhaustive)
   • Any specific sources to include or exclude
   • Output format preference (summary, report, brief)

2. Plan the research strategy. Break the question into 3-5 sub-questions that can be researched in parallel. Identify:

   • Primary sources (official docs, papers, repos)
   • Secondary sources (blogs, tutorials, discussions)
   • Data sources (benchmarks, statistics, surveys)

3. Execute parallel research. For each sub-question, use available tools:

   • Web search for current information
   • GitHub search for code examples and implementations
   • Documentation lookups for technical accuracy
   • Track every source URL and date accessed

4. Evaluate source quality. Rate each source:

   • Authority: Who wrote it? What are their credentials?
   • Currency: When was it published/updated?
   • Relevance: How directly does it address the question?
   • Corroboration: Do other sources confirm this?

5. Synthesize findings. Combine information from all sub-questions into a coherent narrative:

   • Lead with the answer/conclusion
   • Support with evidence from multiple sources
   • Note contradictions or areas of disagreement
   • Identify gaps in available information

6. Deliver the research document. Include:

   • Executive summary (2-3 sentences)
   • Key findings (bulleted)
   • Detailed analysis (organized by sub-question)
   • Source list with quality ratings
   • Confidence assessment (high/medium/low per finding)

Output Format

# Research: {Topic}

## Executive Summary
{2-3 sentence overview of key findings}

## Key Findings
- {Finding 1} [confidence: high/medium/low]
- {Finding 2} [confidence: high/medium/low]
- ...

## Detailed Analysis

### {Sub-question 1}
{Analysis with inline citations [1], [2]}

### {Sub-question 2}
{Analysis with inline citations [3], [4]}

...

## Sources
| # | Source | Authority | Currency | Relevance |
|---|--------|-----------|----------|-----------|
| 1 | {URL} | {rating} | {date} | {rating} |
| 2 | {URL} | {rating} | {date} | {rating} |

## Confidence Assessment
- Overall confidence: {high/medium/low}
- Key uncertainties: {list}
- Recommended follow-up: {list}

Tips

• Use parallel subagents for independent sub-questions to speed up research
• Always cross-reference claims across at least 2 independent sources
• Flag anything that comes from a single source as lower confidence
• Prefer primary sources (official docs, papers) over secondary (blog posts)
• Note the date of every source — technology information can become stale quickly
• If the research reveals the question itself is wrong, say so