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AI-Investigator

AI-Investigator automates website content analysis using Claude 3.5 Sonnet API and Firecrawl for structured reports and enterprise AI case studies.

Introduction

AI Enterprise Case Study Analyzer

An intelligent system for analyzing enterprise AI case studies using the Claude 3.5 Sonnet API. The system supports two main modes of operation:

  • Analyzing case studies from provided URLs in a CSV file.
  • Discovering and analyzing case studies from company websites using the Firecrawl API.
Core Features
1. Case Study Discovery & Analysis
  • CSV Mode: Analyze specific case study URLs provided in a CSV file.
  • Website Mode: Automatically discover and analyze case studies from company websites using Firecrawl's map endpoint.
  • Intelligent case study identification powered by Claude 3.5 Sonnet.
  • Content extraction handled by Firecrawl's scrape endpoint.
2. Content Processing Pipeline
  • Content Extraction (via Firecrawl API):
    • Map endpoint (/v1/map): Discovers links on the website.
    • Scrape endpoint (/v1/scrape): Extracts content in markdown format and retrieves metadata for context.
  • Case Study Identification:
    • Uses Claude to identify potential case study links.
    • Filters content to ensure only relevant case studies are processed.
  • Content Analysis:
    • Checks for enterprise AI qualification.
    • Performs a detailed, multi-section analysis.
    • Assesses business impact and technology stack.
3. Report Generation

The system creates three types of reports:

a. Individual Case Study Reports (reports/individual/)

  • Executive Summary
  • AI Strategy Analysis
  • Technical Implementation Details
  • Business Impact Assessment
  • Key Success Factors
  • Lessons Learned

b. Cross-Case Analysis (reports/cross_case_analysis/)

  • Patterns across multiple implementations.
  • Common success factors.
  • Technology trends.
  • ROI metrics and implementation challenges.

Information

  • Publisher
    Jeremy Xiao
  • Websitegithub.com
  • Published date2025/03/25

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