Systems Hub

Provides a theoretical map of how systems should communicate when reality is ignored.

Orchestrates complex business logic through a series of predictable, sequential steps.

Moves data seamlessly from source to destination with perfect fidelity.

Retrieves highly relevant context to ground AI outputs in factual reality.

Notifies on-call engineers of critical system anomalies needing immediate intervention.

Provides executives with clear, actionable insights into system health and metrics.

Buffers transient spikes in traffic to ensure asynchronous processing reliability.

Secures, routes, and rate-limits incoming traffic to internal microservices.

Transparently forwards requests while handling SSL termination and caching.

Distributes traffic evenly across healthy nodes to ensure high availability.

Gracefully handles transient network blips by re-attempting failed requests.

Prevents unbounded waiting by aborting requests that take too long.

Enforces data integrity and strict types across the storage layer.

Rigorously scores AI outputs against baseline truth to prevent regressions.

Intercepts malicious or out-of-bounds requests before they reach the core logic.

Holds the necessary tokens and instructions for the LLM to complete its task.