AI Runtime Diagram
A simple diagram of how CLARIXO fits between applications and AI providers.
This diagram shows the operational position of CLARIXO as the runtime layer between product logic and external AI providers. It is intentionally simple and designed for technical buyers, engineering teams, and architecture reviews.
Diagram
CLARIXO runtime position
Application Layer
Your SaaS, workflow, agent system, copilot, or internal AI product.
→
CLARIXO Runtime Layer
Router · Guard · Runtime Memory · Explain / Audit
→
AI Provider Layer
OpenAI, Anthropic, DeepSeek, local models, or future model adapters.
Before provider call
Route requests, attach context, choose provider path, and apply fallback policy.
After provider call
Inspect behavior, track drift, monitor confidence, and expose structured guard signals.
Modules
The four runtime modules
Router
Dispatches requests across providers, models, and execution paths without binding product logic to a single vendor.
Guard
Tracks decision deltas, drift movement, escalation conditions, and execution instability before outputs move upstream.
Runtime Memory
Preserves continuity across recent windows so runtime behavior can be interpreted across sessions and transitions.
Explain / Audit
Converts internal runtime state into readable narratives, structured signals, and audit-friendly traces.
Further Reading
Explore the runtime cluster
Runtime Architecture
Read the Runtime Architecture page for the module-level explanation behind this diagram.
Runtime Observability
Read the Runtime Observability page to see how execution signals become visible in production.
Runtime Guard
Read the Runtime Guard page to see how CLARIXO evaluates drift and control signals during execution.