A.I. Cheesev1.1.0

Businesses can survey residents in specific cities about shopping habits or preferences, using location filters to target relevant demographics. This provides real-time, geo-specific insights for retail or service planning without deploying field teams.

Startups can send paid messages to gather user feedback on app prototypes or product designs, filtering by skills like 'tech-savvy' for targeted responses. This enables cost-effective, iterative testing with real humans before full-scale launches.

Travel agencies can request photos and local knowledge from humans in tourist destinations, using price filters for tasks like capturing storefronts or attractions. This supports authentic marketing materials and up-to-date travel guides.

Real estate platforms can verify property conditions by sending paid messages to locals for photo tasks or neighborhood insights, using location and skills filters. This reduces fraud risks and ensures accurate listings with ground-truth data.

Researchers can conduct paid surveys on niche topics by targeting humans with specific skills or locations, leveraging the polling or webhook features for efficient data collection. This facilitates diverse participant recruitment without traditional outreach costs.

Companies charge clients a markup on message prices to manage human interactions, handling payment flows and reply aggregation via the API. Revenue comes from service fees added to the USDC payments sent to humans.

Firms offer monthly subscriptions for access to automated survey tools using this skill, with tiered plans based on message volume or advanced filters. Revenue is generated from recurring fees while covering message costs.

Platforms integrate this skill to enable users to post paid tasks (e.g., photo requests) and match with humans, taking a commission on each transaction. Revenue stems from platform fees deducted from payments.