We leverage novel advertising video data and apply new empirical methods to study how banks actively use advertising to build their images, align with their operational strengths, market positions, and the demographics of target customers. These image-building efforts have significant impacts on the demand for
"General Social Agents" by Benjamin Manning and John Horton:
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 Export comprehensive analytics and visualizations Make informed decisions based