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Overview

The Argument Analysis Tool uses advanced AI to transform any topic, URL, or document into a comprehensive, multi-layered argument structure. It goes beyond simple pro/con lists to map the complete logical landscape of a debate.

Web-Powered Research

Automatically searches and synthesizes information from multiple high-authority sources

Balanced Perspective

Identifies arguments on both sides of any topic without bias

Source Verification

Every claim is backed by direct quotes and verifiable URLs

Deep Deconstruction

Breaks down complex debates into thesis, claims, counterclaims, and evidence

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How It Works

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1. Input Your Topic

Provide any of the following:
  • A topic question (e.g., “Should AI be regulated?”)
  • A URL to analyze (news article, blog post, academic paper)
  • Pasted document text

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2. AI Search & Synthesis

1

Query Generation

The AI generates an optimized 2-4 word search query from your input to capture the core topic
2

Web Research

Using the webSearch tool, the AI gathers perspectives from multiple diverse, high-authority sources including:
  • Academic institutions
  • Reputable news organizations
  • Official reports and government sources
  • Expert analyses
3

Multi-Source Verification

Each argument point is cross-referenced across sources to ensure accuracy and reduce bias
The system prioritizes objectivity above all else. It acts as a neutral synthesizer, mapping the debate as it exists rather than taking a side.

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3. Argument Deconstruction

The AI identifies and structures arguments into a hierarchical blueprint:
The central proposition or question at the heart of the debate. This serves as the root node of your argument tree.Example: “Artificial intelligence should be regulated by government oversight”
Multiple distinct lines of reasoning that support the thesis. Each claim represents a separate logical pathway.Example Claims:
  • Claim 1: AI poses safety risks that require oversight
  • Claim 2: Historical precedent shows technology regulation benefits society
  • Claim 3: Industry self-regulation has proven insufficient
Arguments that challenge or oppose the thesis. The AI actively searches for credible opposing viewpoints.Example Counterclaims:
  • Counterclaim 1: Regulation stifles innovation and economic growth
  • Counterclaim 2: Current regulatory frameworks are too slow for AI’s pace
  • Counterclaim 3: Industry expertise exceeds government understanding
Specific supporting data, studies, examples, or expert testimony for each claim and counterclaim.Each evidence node includes:
  • Direct quote from the source (sourceText)
  • Full URL to the original material (source)
  • How it supports its parent claim (logicalRole)

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The Argument Blueprint

Every analyzed topic produces a structured AnalysisResult containing: 
type AnalysisResult = {
  blueprint: ArgumentNode[];    // The full argument structure
  summary: string;              // Neutral overview of the debate
  analysis: string;             // Meta-analysis with insights
  socialPulse: string;          // Social media sentiment
  tweets: Tweet[];              // Related social discussion
}

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ArgumentNode Structure

Each node in the argument tree contains: 
type ArgumentNode = {
  id: string;                   // Unique identifier
  parentId: string | null;      // Parent node (null for thesis)
  type: 'thesis' | 'claim' | 'counterclaim' | 'evidence';
  side: 'for' | 'against';      // Position in the debate
  content: string;              // Summary of the argument point
  sourceText: string;           // Exact quote from source material
  source: string;               // URL of the source document
  fallacies: string[];          // Identified logical fallacies
  logicalRole: string;          // Function in the overall argument
}
The sourceText field contains verbatim quotes from sources, ensuring every claim can be verified by clicking through to the original material.

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Source Integration & Verification

Every element of your argument map is grounded in verifiable sources:
  1. Direct Attribution: Each node links to its source URL
  2. Quote Extraction: Original text snippets prove the connection
  3. Multi-Source Coverage: Information is synthesized from diverse sources to avoid single-source bias
  4. Logical Traceability: The logicalRole explains how each piece fits into the broader argument

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Example Source Chain

Thesis: "Climate action requires immediate policy changes"
  ↓
Claim 1: "Current warming trends exceed historical patterns"
  ↓
Evidence 1:
  content: "Global temperatures have risen 1.1°C since pre-industrial times"
  sourceText: "The data shows a clear warming trend of 1.1°C above..."
  source: "https://climate.nasa.gov/vital-signs/global-temperature/"
  logicalRole: "Provides quantitative evidence from authoritative source"

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AI-Generated Insights

Beyond the structured blueprint, the analysis includes:

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Summary

A concise, strictly neutral summary of the arguments discovered across both sides of the debate.

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Analysis

AI-driven meta-analysis that identifies:
  • Logical gaps in reasoning
  • Common ground between opposing sides
  • Emerging themes across sources
  • Particularly influential arguments
  • Overall state of the debate
The analysis helps you understand not just the arguments themselves, but the bigger picture of how the debate is structured and where the critical points of contention lie.

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Quality Principles

The AI follows strict principles for analysis quality:

Objectivity is Paramount

No side-taking. The tool maps the debate as it exists.

Depth and Detail

Goes beyond surface-level arguments to find multiple distinct lines of reasoning.

Source Grounding

Every single node must be directly tied to a verifiable source.

Opposition Research

Actively searches for credible opposing viewpoints to ensure balance.

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Use Cases

Quickly map the scholarly debate on complex topics, identifying key arguments and their supporting evidence across multiple papers.
Teach students to recognize argument structure, evaluate evidence quality, and identify logical reasoning patterns.
Understand all angles of important decisions by seeing comprehensive arguments on both sides backed by credible sources.
Deconstruct opinion pieces, policy documents, or debates to reveal underlying logical structure and evidence gaps.

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What’s Next?

Once your argument is analyzed, explore it through:

Visual Mapping

See your argument as an interactive tree, flowchart, or other visualization

Fallacy Detection

Identify logical fallacies in the reasoning

Social Pulse

See how the topic is being discussed on social media

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