An iOS app that turns passive consumers into active advocates through AI-powered corporate accountability tracking and instant action generation.
At What Cost transforms scattered corporate accountability efforts into a coordinated, data-driven movement through two core features:
Autonomous agents continuously:
- Scrape publicly available data about corporate animal welfare commitments
- Track violations and broken promises in real-time
- Generate risk scores (e.g., "Ahold Delhaize: 1/10 for silently delaying cage-free deadline")
LLMs generate personalized advocacy tools:
- Email templates tailored to current violations
- Phone call scripts for investor relations and executives
- Direct execution from the app (similar to 5Calls but for animal welfare)
Empowers 18-34 year old conscious consumers to hold corporations accountable for animal welfare, environmental, and labor practices through coordinated, data-driven pressure campaigns.
- Frontend: React Native (iOS first)
- Backend: Python/Node.js for agent orchestration
- AI/ML: LLM for content generation, agents for data scraping
- Database: PostgreSQL for company tracking
at-what-cost/
├── docs/ # Design docs, user research
├── designs/ # Figma exports, mockups
├── backend/ # API and data processing
├── mobile/ # React Native app
└── data/ # Sample data, company info
- Autonomous tracking of top 50 food corporations
- Real-time violation detection and scoring
- One-tap email/call actions with AI scripts
- Campaign coordination and impact tracking
- Push notifications for urgent actions
[Coming soon - setup instructions]
See CONTRIBUTING.md for details.