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.
- Map endpoint (
- 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.