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Our approach relies on two key principles: (i) grounding candidate AI agents in theories expected to drive human behavior in the target setting, and (ii) optimizing and then validating AI agents in distinct but related settings presumed to share underlying behavioral
Intelligent logo discovery agent with high success rate:
Web scraping with BeautifulSoup4
Google Search API integration for finding websites
OpenAI Vision API for logo validation
FastAPI backend with comprehensive REST API
React frontend with Material-UI
SQLite database for MVP (PostgreSQL ready)
Batch processing from CSV files
Confidence scoring for found
A collaborative team prioritization platform that helps teams make data-driven decisions about feature development through structured scoring and AI-powered analytics.
Create prioritization sessions with custom scoring criteria
Collaboratively vote on features using weighted criteria
Leverage AI models for automated feature evaluation
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