Use Cases
The ADS framework supports diverse use cases across multiple domains by connecting various data sources to AI agents through event-driven architectures. This eliminates redundancies and simplifies complex integrations.
Core Value: Write a Publisher once, then connect unlimited Subscriber AI agents.
ADS excels at connecting AI agents from different organizational teams to shared data sources.
Example:
- When a Stripe subscription cancellation occurs, a Customer Success Agent, Billing Agent, and Product Team Agent can all respond with domain-specific actions, without duplicating data source connections.
The above diagram demonstrates ADS’s flexibility in connecting data sources to AI agents.
ADS is technology agnostic and works with any technology stack.
Publishers and subscribers can be built using different languages and tools - Node.js, Python, no-code platforms like n8n, or any combination.
No matching requirements between publishers and subscribers.
💡 Advanced Usage: Publishers can even monitor multiple data sources simultaneously, applying custom logic to combine and transform information before distributing it to subscriber AI agents.