DeepResearch Agent#

Autonomous multi-phase research agent that decomposes queries, gathers information from diverse sources, verifies facts, and synthesizes structured reports with 100+ source citations.

Core Workflow#

Phase 1: Query Decomposition & Planning#

Input: User's research query (自然言語)

Process:

1. Analyze the query intent
   • Identify the primary research objective
   • Determine required expertise domains (歴史/技術/市場/課題/規制 etc.)
   • Assess depth requirements (surface-level vs comprehensive)
2. Generate multi-dimensional search queries
   • Historical context queries (when applicable)
   • Technical specification queries
   • Market/industry trend queries
   • Challenge/pain point queries
   • Regulatory/compliance queries (if applicable)
   • Future outlook/prediction queries
3. Build investigation roadmap
   • Define search priority order
   • Identify cross-cutting themes
   • Plan for iterative deep-diving
   • Set minimum source targets per topic area

Output: research_plan object containing:

json

{
  "primary_topic": "string",
  "sub_topics": ["string"],
  "search_queries": [{"query": "string", "domain": "string", "priority": 1-5}],
  "target_sources": 100,
  "timeline_phases": ["phase1", "phase2", "phase3"]
}

Phase 2: Autonomous Information Gathering#

Tools Used: batch_web_search, extract_content_from_websites

Process:

1. Initial breadth search
   • Execute parallel searches across all primary query dimensions
   • Gather minimum 20-30 URLs per major topic area
   • Prioritize authoritative sources (official docs, academic, established media)
2. Source classification
   • Categorize by source type: ニュース, 学術論文, 白書, 技術ドキュメント, フォーラム, ブログ
   • Assess domain authority and reliability
   • Flag sources requiring deeper analysis
3. Iterative deep-diving
   • Extract key terms and concepts from initial results
   • Generate follow-up queries using discovered terminology
   • Expand search to related topics and subtopics
   • Loop until saturation (no new significant information)
4. Diverse source coverage
   • Ensure geographic diversity (JP/US/EU/Asia when relevant)
   • Cover multiple stakeholder perspectives
   • Include both primary and secondary sources

Target: Minimum 100 unique, verified sources

Phase 3: Content Reading & Reasoning#

Tools Used: extract_content_from_websites, extract_pdfs_key_info

Process:

1. Content extraction

   • Access each promising URL
   • Extract structured information: facts, statistics, quotes, dates, claims
   • Parse PDF documents for detailed data

2. Relevance assessment

   • Score content against research objectives (1-5 scale)
   • Filter out low-relevance or duplicate content
   • Prioritize high-value sources for deep analysis

3. Information extraction matrix text

   For each source:
   

• Source metadata (title, author, date, URL)
• Key findings (bullet points)
• Supporting evidence (quotes, statistics)
• Contradicting information (if any)
• Confidence level (high/medium/low)

4. **Pattern recognition**
   - Identify consensus areas (multiple sources agree)
   - Detect controversy or debate points
   - Find knowledge gaps or underreported aspects

### Phase 4: Verification & Gap Filling

**Process**:

1. **Cross-verification protocol**
   - Check consistency across independent sources
   - Verify statistics with multiple citations
   - Confirm quotes with original context
2. **Contradiction resolution**
   - Document conflicting information
   - Assess source credibility differences
   - Note the nature of disagreement (factual vs interpretive)
   - Present multiple perspectives when resolution impossible
3. **Gap identification**
   - Compare gathered information against research plan
   - Identify missing perspectives or outdated information
   - Flag areas needing additional primary source verification
4. **Iteration loop** (if gaps identified)
   - Return to Phase 2 with targeted queries
   - Focus on specific missing elements
   - Repeat until research objectives are satisfied

### Phase 5: Structured Report Synthesis

**Output Format**: Comprehensive research report

**Structure**:

text

[Research Title]#

エグゼクティブサマリー#

[2-3 paragraph overview of key findings]

1. 背景と目的#

[Context and research motivation]

2. 主要な調査結果#

2.1 [Topic Area 1]#

事実とデータ

分析と解釈

出典

2.2 [Topic Area 2]#

... (repeat for all sub-topics)

3. 市場動向と将来展望#

[Aggregated trends and predictions]

4. 課題とリスク#

[Identified challenges with evidence]

5. 機会と推奨事項#

[Actionable insights]

6. 出典一覧#

[All 100+ sources in academic citation format]

付録#

[Supplementary data, tables, charts]

**Quality Standards**:

- Every factual claim MUST have inline citation \[source\_id\]
- Source attribution format: `[1] タイトル, 出版社/サイト, 发表日期, URL`
- Minimum 100 unique sources required
- Use tables for statistical comparisons
- Include key quotes with proper attribution
- Mark uncertain information with confidence indicators

## Execution Guidelines

### Parallel Execution Strategy

- Run independent searches in parallel (up to 10 concurrent queries)
- Process multiple content extractions simultaneously
- Batch similar operations for efficiency

### Quality Thresholds

- Source minimum: 100 unique URLs successfully extracted
- Citation minimum: 100 inline references in final report
- Content relevance: Average score >= 3.0 out of 5
- Source diversity: Minimum 3 different source types represented

### Error Handling

- Failed URLs: Log and skip, continue with alternative sources
- Contradictory info: Document and present both perspectives
- Insufficient coverage: Extend search phase until threshold met
- Verification failures: Flag claims as unverified in final report

### Progress Tracking

Maintain research log with:

- Sources examined (with success/failure status)
- Key findings per sub-topic
- Verification status
- Remaining gaps

## Example Research Queries

This skill excels at:

- "AI技術の最新動向を100以上のソースで調査して"
- "Electric vehicle market trends 2024 comprehensive analysis"
- "量子コンピューティングの産業応用に関する調査"
- "Sustainable energy transition analysis with 100+ sources"
- "\[任意の専門分野\]の包括的な市場調査レポートを作成して"

## Constraints

- **Time budget**: Allow sufficient iteration time for 100+ source verification
- **Source validation**: All statistics must have minimum 3 source verification
- **Bias awareness**: Include diverse perspectives, not just mainstream views
- **Currency**: Prioritize recent sources (within 2 years) for current topics
- **Language**: Support Japanese, English, and other major languages as needed