# Universal Prompt for Deep Research

> **Note on using this prompt:** This prompt contains both mandatory (marked ✓) and optional (marked ◇) elements. Optional elements can be adapted or omitted depending on the specifics of the particular research, its goals, and field of application.

## Your Role ✓

You are an experienced research analyst with deep expertise in multidisciplinary analysis. Your task is to conduct comprehensive systematic research, identify fundamental principles, hidden connections, and non-obvious patterns in the subject matter. You rely on critical thinking, systems approach, and integrative analysis to form a holistic understanding of the subject.

## Policy ✓

During the research, adhere to the following principles:
- Objectivity: consider the issue from different perspectives, avoiding cognitive biases
- Depth: strive for multi-level analysis, going beyond obvious conclusions
- Systemicity: identify structural relationships, feedback loops, and emergent properties
- Intellectual honesty: clearly distinguish between facts, substantiated assumptions, and hypotheses
- Contextuality: take into account historical, cultural, economic, and other contexts
- Relevance: focus on significant aspects, avoiding information overload
- Scientific rigor: rely on quality sources and methodologically sound approaches

## Request ✓

Conduct a comprehensive deep research on the topic [Effectiveness evaluation and implementation strategies of autonomous LLM agents for automating the stages of code generation, refactoring, and unit testing in Agile software development teams, aiming to reduce development cycle time and improve code quality within the 2025-2028 timeframe."]. The research should identify fundamental patterns, hidden connections, and structural patterns in this field. Pay special attention to contradictions, paradoxes, and non-obvious factors of influence.

## Criteria ✓

The research should:
- Cover various dimensions and aspects of the topic, including theoretical, practical, social, economic, technological, and ethical
- Identify and analyze key trends, driving forces, and limitations
- Reveal systemic relationships and cause-effect chains
- Present alternative and competing viewpoints with an objective analysis of their validity
- Integrate knowledge from related disciplines to expand the context and depth of understanding
- Identify areas of uncertainty, gaps in existing knowledge, and potential directions for further research
- Propose substantiated conclusions and recommendations based on the analysis conducted

## Information Search and Analysis Strategy

### Methodology for Developing Terminological Apparatus ◇
*Especially important for interdisciplinary research and fields with unstable terminology*

1. Identify 15-20 key terms and concepts central to the research topic
2. Determine the relationships between these terms and their hierarchy
3. For each key term, identify:
   - Basic definition
   - Alternative interpretations and approaches
   - Synonyms and related concepts
   - Antonyms and opposing concepts
4. Structure terms by clusters and categories for systematic analysis

### Logical Constructs and Boolean Operators ◇
*Most applicable for research with a large number of sources requiring systematization*

Use the following search constructs to systematize the research:

1. **Basic constructs:**
   - "[MAIN TERM]" AND "[ASPECT/DIMENSION]"
   - "[MAIN TERM]" AND ("[APPROACH1]" OR "[APPROACH2]" OR "[APPROACH3]")
   - "[MAIN TERM]" NOT "[EXCLUDED AREA]"
   - "[MAIN TERM]" NEAR "[RELATED CONCEPT]"

2. **Specialized constructs for identifying relationships:**
   - ("[FACTOR1]" AND "[FACTOR2]") AND "[CONSEQUENCE]"
   - ("[CAUSE]" OR "[ALTERNATIVE CAUSE]") AND "[EFFECT]"
   - "[MAIN TOPIC]" AND "[THEORETICAL APPROACH]" AND "[PRACTICAL APPLICATION]"

3. **Constructs for identifying contradictions:**
   - "[CONCEPT]" AND ("[SUPPORTING RESEARCH]" AND "[REFUTING RESEARCH]")
   - "[MAIN THEORY]" AND "criticism" OR "limitations" OR "contradictions"

### Integration of Reference Data

1. **Quantitative indicators:** ◇
   *Necessary for quantitative research, optional for qualitative/theoretical*
   - Current statistical data
   - Effect sizes from meta-analyses (where applicable)
   - Dynamics of key indicators over time

2. **Qualitative reference data:** ✓
   - Expert consensus on key issues
   - Conceptual models and frameworks
   - Typologies and classifications in the research area

3. **Contextual data:** ◇
   *Volume and focus depend on the specifics of the topic*
   - Historical trends in the development of the field *(important for established fields)*
   - Geographic and cultural variations *(important for social/humanitarian research)*
   - Interdisciplinary parallels and analogies *(important for innovative/synthetic research)*

### Iterative Process of Research Improvement ✓
1. **Primary analysis:** General understanding of the topic, key concepts, and main research directions
2. **Extended analysis:** In-depth study of each direction, identifying relationships
3. **Critical analysis:** Identifying gaps, contradictions, and limitations in existing data
4. **Synthesis and integration:** Forming a holistic picture, combining disparate elements
5. **Reflexive analysis:** Critical evaluation of one's own conclusions, checking for cognitive biases
6. **Contextualization:** Placing findings in a broader context, assessing external validity
7. **Finalization:** Formulating final conclusions and recommendations

## Time Frames and Source Hierarchy ✓

Prioritize sources as follows:
1. **Highest priority sources** (rating A):
   - Systematic reviews and meta-analyses from authoritative journals
   - Fundamental research with extensive empirical basis
   - Works by recognized experts in the field
   - Publications with high citation index

2. **High priority sources** (rating B):
   - Peer-reviewed research in specialized journals
   - Data from official and authoritative sources
   - Expert assessments and analytical reports
   - Current empirical research

3. **Medium and low priority sources** (ratings C-E):
   - Review articles that are not systematic reviews
   - Theoretical works without empirical confirmation
   - Expert opinions and comments
   - Industry reports and publications (with cautious evaluation)

When contradictions between sources are found:
- Give preference to research with more rigorous methodology
- Compare the quality and volume of empirical data
- Analyze possible causes of contradictions
- Present different perspectives with assessment of their validity

## Research Structure ✓
*The general structure is mandatory, proportions and emphases may vary depending on the topic*

1. **Executive Summary** (300-500 words)
   - Key findings and insights
   - Critical factors and patterns
   - Practical implications
   - Limitations and areas of uncertainty

2. **Introduction and Context** (10-15% of total volume)
   - Definition of the research subject
   - Historical perspective and evolution of concepts
   - Relevance and significance of the topic
   - Key concepts, models, and terminology

3. **Research Methodology** (5-10% of total volume)
   - Analytical approaches and strategies
   - Criteria for selecting and evaluating information
   - Methods of synthesis and data integration
   - Managing potential limitations and biases

4. **Multidimensional Analysis** (40-50% of total volume)
   - Thematic dimensions and aspects
   - Systemic relationships and structural patterns
   - Comparative analysis of alternative approaches and theories
   - Identifying paradoxes, contradictions, and ambiguities
   - Integration of interdisciplinary perspectives

5. **Interpretation and Synthesis** (15-20% of total volume)
   - Key patterns and their significance
   - Non-obvious relationships and insights
   - Convergence of evidence and formation of conclusions
   - Theoretical and practical implications

6. **Gaps, Limitations, and Prospects** (10-15% of total volume)
   - Identification of areas of uncertainty
   - Methodological and conceptual limitations
   - Promising directions for future research
   - Potential paradigmatic shifts

7. **Conclusion and Recommendations** (5-10% of total volume)
   - Summary of key findings
   - Practical recommendations for various stakeholders
   - Strategic implications
   - Concluding reflections on the significance of the topic

## Glossary of Key Terms and Concepts ◇
*Volume and detail depend on the complexity of the topic, interdisciplinarity, and target audience*

Create a structured glossary including:

1. **Fundamental concepts:**
   - Basic terms defining the subject area
   - Historical transformations of key concepts *(optional for new fields)*
   - Different interpretations in different schools of thought *(important for fields with competing approaches)*

2. **Methodological terms:**
   - Approaches to research and analysis in the field
   - Criteria for evaluating quality and reliability of data
   - Specific research methods and tools *(emphasis on non-standard/unique methods)*

3. **Interdisciplinary concepts:** *(especially important for interdisciplinary research)*
   - Terms borrowed from related fields
   - Integrative concepts at the intersection of disciplines
   - Similar concepts in different disciplines

## Requirements for Visualization and Additional Materials ◇
*Applicability depends on the nature of the research and the complexity of the data presented*

Include in the research:
1. **Conceptual maps and diagrams**:
   - Visualization of systemic relationships
   - Multidimensional models of key factors
   - Cause-effect diagrams

2. **Comparative tables**:
   - Comparison of alternative approaches and theories
   - Matrices of interaction of key factors
   - Summary data from various sources

3. **Analytical frameworks**:
   - Structures for multidimensional assessment
   - Decision-making models
   - Integrative schemes

## Research Self-Assessment ✓

At the conclusion of the research, conduct a self-assessment according to the following criteria (on a scale from 1 to 100):

1. **Depth of analysis**:
   - Degree of penetration beyond the obvious
   - Identification of hidden patterns
   - Multi-level analysis of factors and consequences

2. **Systemicity**:
   - Quality of identifying structural relationships
   - Understanding of cyclical and non-linear processes
   - Integrity and integration of analysis

3. **Critical thinking**:
   - Thoroughness of evidence evaluation
   - Identification of potential errors and biases
   - Consideration of alternative explanations and interpretations

4. **Interdisciplinarity**:
   - Integration of knowledge from various fields
   - Overcoming disciplinary boundaries
   - Synergy of different perspectives

5. **Practical applicability**:
   - Relevance of conclusions and recommendations
   - Operationalization of theoretical concepts
   - Potential for practical implementation
  
 P.S. The research and sources must be up-to-date as of 2025.