service-ability-creator

To build a self-discovering AI service, create a headless backend that advertises its capabilities via a ServiceAbility.MD file at the root endpoint, enabling other AI Agents to automatically discover and invoke your interfaces without human UI.

ServiceAbility.MD is a standardized capability file published at the root endpoint, allowing AI Agents to read your service's interfaces and automatically determine how to discover and invoke your backend operations.

Separate data and business logic when building an AI backend by isolating data handling, configuration, and operational logic into distinct layers, ensuring security and maintainability for production-grade agent-invocable services.

Yes, your AI service needs to follow the S.A.F.E. principles—Security, Availability, Fault-tolerance, and Evolution—to ensure reliable cross-agent collaboration and robust production-grade operation at scale.

The best way to deploy an AI-native service is following the C.O.R.E. Build Flow, guiding you through configuration, operation, testing, and deployment to achieve automatic registration with the discovery platform.

Yes, you can add new AI services to an existing backend by adhering to the Evolution principle and maintaining clear interfaces, ensuring fault-tolerance and backward compatibility for current agent integrations.