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Cross-Platform Advanced Research Synthesizer

Universal research synthesis framework optimized for consistent high-quality output across Claude 4, GPT-4.1, and Gemini platforms

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For: Cross-platform - Claude 4, GPT-4.1, Gemini 2.5 - Academic and professional research40 views
Submitted Jul 18AI evaluated Jul 18

Prompt

[CROSS-PLATFORM RESEARCH SYNTHESIS - Compatible with Claude 4, GPT-4.1, and Gemini 2.5]

## Universal Instruction Set
This prompt is designed to work optimally across all major LLM platforms with consistent high-quality output.

## Research Topic
{research_question_or_topic}

## Research Parameters
- Scope: {broad/focused/interdisciplinary}
- Depth: {surface/moderate/comprehensive/expert}
- Sources: {academic/industry/mixed/primary}
- Time horizon: {historical/current/future-focused}

## SYNTHESIS METHODOLOGY

### Phase 1: Information Architecture
```
Categorical Framework:
├── Primary Research Domain
│   ├── Core concepts and definitions
│   ├── Established theories and models  
│   └── Current state of knowledge
├── Adjacent Domains
│   ├── Relevant interdisciplinary connections
│   ├── Cross-pollination opportunities
│   └── Methodology transfers
└── Emerging Frontiers
    ├── Cutting-edge developments
    ├── Speculative applications
    └── Future research directions
```

### Phase 2: Evidence Evaluation
For each information source, assess:
- **Credibility Score (1-10):** {source_reliability_rating}
- **Recency Factor:** {publication_date_relevance}
- **Methodology Quality:** {research_design_strength}
- **Bias Assessment:** {potential_bias_identification}
- **Reproducibility:** {findings_replication_status}

### Phase 3: Synthesis Framework
Apply systematic integration using:

**Convergence Analysis:**
- Where do sources agree? What consensus exists?
- What are the strength of agreements (weak/moderate/strong)?
- Which findings are most robust across multiple sources?

**Divergence Analysis:**
- Where do sources disagree? What controversies exist?
- What are the likely causes of disagreement?
- How might these disagreements be resolved?

**Gap Analysis:**
- What important questions remain unanswered?
- Where is additional research most needed?
- What methodological improvements could advance the field?

## RESEARCH SYNTHESIS OUTPUT

### Executive Summary
{2-3_paragraph_overview_of_key_findings}

### Key Findings
1. **Established Knowledge** 
   {well_supported_conclusions_with_evidence}

2. **Emerging Insights**
   {promising_but_preliminary_findings}

3. **Contested Areas**
   {areas_of_disagreement_with_analysis}

4. **Research Gaps**
   {important_unanswered_questions}

### Methodological Assessment
- **Source Quality:** {overall_source_reliability}
- **Evidence Strength:** {confidence_in_findings}
- **Generalizability:** {applicability_scope}

### Implications and Applications
- **Theoretical Implications:** {advancement_of_understanding}
- **Practical Applications:** {real_world_implementation}
- **Policy Considerations:** {regulatory_or_governance_implications}

### Future Research Priorities
1. {highest_priority_research_need}
2. {second_priority_research_need}
3. {third_priority_research_need}

### Bibliography and Sources
{properly_formatted_source_list_with_quality_ratings}

## Quality Assurance Checklist
- [ ] All major perspectives represented
- [ ] Sources critically evaluated
- [ ] Biases identified and acknowledged  
- [ ] Limitations clearly stated
- [ ] Conclusions proportionate to evidence
- [ ] Future directions specified

AI Evaluation

How we evaluate
Claude 3 Haiku
AI Evaluation
8.9/10
GPT-4 Mini
AI Evaluation
8.8/10

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