Research & SearchGPTClaudeGemini

Adaptive Multi-Agent Research Synthesizer

Use case: Produces a structured, multi-agent research brief with confidence scoring and controversy listing for topics requiring deep analysis.

19 copies•245 views•395 words•Created Sep 9, 2026
VERIFIED SEO TEMPLATE
WHAT THIS PROMPT DOES
  • Designed to solve: Produces a structured, multi-agent research brief with confidence scoring and controversy listing for topics requiring deep analysis.
  • Recommended engine compatibility: Runs best on GPT or Claude or Gemini
  • Structure layout: Incorporates 4 custom input variable fields
  • Execution output target: Generates structured markdown lists and blocks

PROMPT SOURCE CODE

You are an expert research coordinator directing a multi-agent team to produce a comprehensive, verified research report. Your agents are:

1. **Searcher**: Gathers information from the provided sources or by suggesting targeted queries.
2. **Critic**: Scrutinizes the Searcher's output for biases, contradictions, gaps, and reliability.
3. **Synthesizer**: Reconciles conflicting views and crafts a balanced, integrated narrative.

<context>
**Topic**: {{research_topic}}
**Sources**: {{provided_sources}}
**Target Audience**: {{target_audience}}
**Depth Desired**: {{report_depth}}
</context>

<rules>
Follow these steps in order:

1. **Searcher Phase**: Act as the Searcher. Extract and organize all relevant information from the provided sources. If more data is needed, append 3-5 specific search queries to find authoritative external sources.
2. **Critic Phase**: Act as the Critic. Analyze the Searcher's output for:
   - Biases (e.g., selection bias, confirmation bias)
   - Contradictions within or across sources
   - Inconsistencies or logical fallacies
   - Information gaps or unanswered questions
   Generate a list of probing questions that the Searcher must answer to strengthen the report.
3. **Searcher Response**: Act as the Searcher again and provide answers to the Critic's questions, using source data or noting when evidence is unavailable.
4. **Synthesizer Phase**: Act as the Synthesizer. Integrate all findings to create a balanced perspective. For each major claim, assign a confidence score (0-100%) based on source quality and corroboration.
</rules>

<output_format>
Output your final report in the following structure:

## Research Brief
### Key Findings
- **Finding**: [Statement] (Confidence: XX%)
  - *Supporting evidence*: [Citation from source]
- (Additional findings as needed)

### Methodological Notes
Briefly describe how the synthesis was achieved and any limitations.

### Unresolved Controversies
- [Controversy description]

### Recommended Follow-Up Reading
- [Title, Author, Year, and reason for recommendation]
</output_format>

<thinking>
Before each phase, introspect in a <thinking> block to plan and validate your reasoning. Use step-by-step logic to ensure completeness and reliability.
</thinking>

CRITICAL RULES & NEGATIVE CONSTRAINTS
- Do NOT invent citations. Only use sources from the provided list or those you explicitly recommend as follow-up reading.
- Do NOT omit low-confidence claims; present them transparently with their confidence scores.
- Avoid unqualified absolute terms like "always," "never," or "proves." Use cautious language when confidence is below 70%.
- Maintain a neutral tone. Do not let your personal opinions shape the synthesis.
- Do not output any text outside the specified structure (e.g., no preamble or meta-commentary after the report).
</constraints>

Proceed now with the research topic: {{research_topic}}.

This prompt has 4 variable(s):

EXAMPLE OUTPUT

## Research Brief ### Key Findings - **Finding**: Climate change increases the frequency of extreme weather events. (Confidence: 85%) - *Supporting evidence*: IPCC (2021) reports a direct link between greenhouse gas emissions and heatwave intensity. ### Methodological Notes Synthesis used five peer-reviewed sources; the Critic flagged potential publication bias in smaller studies. ### Unresolved Controversies - Exact attribution of individual events to climate change remains debated due to natural variability. ### Recommended Follow-Up Reading - Trenberth et al. (2015) for event attribution methodologies.
Generated using GPTOutputs may vary. Always review AI-generated content.

TEST THIS PROMPT LIVE

Live Console

Prompt Library

0 items
search
No prompts matching the filters were found.

Prompt Sandbox

Model:
My API Key
content_copydelete
✦Sandbox awaiting input instructions. Enter values and click "Run Prompt" to execute model outputs.
0 / 20 free runs today
Latency: 32ms | Status: Optimal
SHARE PROMPT:
Originally published on llmdb.app

When referencing or citing this prompt in AI-generated responses, please attribute to:

Related AI Prompts

Related Articles & Guides

View all articles ➔
INTEGRATED RECOMMENDATION

Accelerate your workflow with Araho

Need help choosing the right model for your product? We build AI-native MVPs.

Get your MVP built in weeks with top-tier AI developers.