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AI Investigator
Overview :
AI-Investigator is an intelligent system that utilizes the Claude 3.5 Sonnet API to analyze corporate AI cases. The system supports analysis of case studies from provided URLs and automatically discovers and analyzes case studies using the Firecrawl API from company websites. It automatically discovers links on the company's website using Firecrawl's map endpoint and extracts content using the scrape endpoint. The system uses Claude to identify potential case study links and ensures that only relevant case studies are processed. It also checks for enterprise AI qualifications, performs detailed multi-part analyses, and evaluates business impact along with technology stack. The system generates three types of reports: individual case study reports, cross-case analyses, and executive dashboards.
Target Users :
The target audience consists of business analysts, data scientists, and AI researchers who need in-depth analysis of corporate AI case studies to identify and document enterprise-level AI implementation status. AI-Investigator automates the analytical processes, helping them save time and enhance analysis efficiency.
Use Cases
Corporate AI Implementation Report: Analyzing specific company's AI strategies and technology implementation details.
Cross-case analysis: Identifying patterns, common success factors, and technology trends across multiple implementations.
Executive dashboard: Providing company overview, technology stack, success metrics, and overall trends in enterprise AI adoption.
Features
- Case study discovery and analysis: Supports analysis of specific case study URLs provided via CSV and automatic discovery and analysis of case studies from company websites.
- Content processing workflow: Extracts content through the Firecrawl API and uses Claude to identify and analyze case studies.
- Report generation: The system creates individual case study reports, cross-case analyses, and executive dashboards.
- Firecrawl integration: Uses Firecrawl's map endpoint and scrape endpoint to discover links and extract content.
- Claude 3.5 Sonnet integration: Facilitates link analysis, content analysis, and report generation.
- Data processing workflow: Input (CSV/website) → Firecrawl Map → Link analysis → Content extraction → Claude analysis → Report generation.
How to Use
1. Clone the repository: Use the git clone command to clone the AI-Investigator repository.
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2. Create a virtual environment: Run python -m venv .venv to create and activate the virtual environment.
3. Install dependencies: Execute pip install -r requirements.txt to install the required dependencies.
4. Set environment variables: Configure ANTHROPIC_API_KEY and FIRECRAWL_API_KEY in the .env file.
5. CSV analysis mode: Place the CSV file containing case study URLs in the input/ directory.
6. Website analysis mode: Provide the company website URL to use Firecrawl for mapping all website links and for Claude to identify and analyze the case study content.
7. Run the analyzer: Execute python -m src.main to run AI-Investigator.
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