Architecture
CLARIXO sits between the application layer and AI providers as the runtime control layer.
The system does not replace model vendors. It routes requests, observes runtime behavior, tracks drift, preserves memory windows, and explains how decision paths change during execution.
Layer Model
How the runtime layer fits into the stack
CLARIXO sits between applications and external AI providers. The application sends
a request, CLARIXO evaluates routing and runtime state, then the selected provider returns
output through an observable execution path. This gives teams a structured way to manage
provider selection, fallback logic, runtime visibility, and explainable control signals
without coupling application logic directly to one model vendor.
Application Layer
Your app, workflow, SaaS product, or agent system.
→
CLARIXO Runtime Layer
Routing, guard control, memory windows, and explainability.
→
AI Providers
OpenAI, Claude, DeepSeek, local models, or other adapters.
Core Modules
Four runtime modules inside CLARIXO
Each module solves a different runtime problem. Together they form the runtime control and visibility
layer that CLARIXO exposes to applications.
ROUTER
Request routing
Select the provider, path, and fallback route based on intent, context, and system conditions.
GUARD
Runtime guard
Track decision delta, divergence, confidence shifts, and runtime instability before results move upstream.
RUNTIME MEMORY
Runtime memory
Preserve continuity windows, persistence signals, and transition chains across recent interactions.
EXPLAIN / AUDIT
Explainable review
Convert raw runtime behavior into readable narratives, traces, and observable control signals.
Execution Path
What happens during a runtime decision
1. Request Intake
The application sends a prompt, task, or request into CLARIXO instead of calling an external AI provider directly, establishing a clearer application-to-provider execution path through the runtime layer.
2. Route Selection
The router evaluates intent, current state, and fallback policy to determine the best execution path, giving the system a more resilient provider-selection layer under changing runtime conditions.
3. Runtime Guard
Guard logic monitors drift, divergence, and confidence before and after the model response is produced.
4. Runtime Memory
Runtime memory compares current execution with recent transitions to preserve continuity and detect abnormal shifts.
5. Explain / Audit
The system returns a result together with structured runtime visibility, making decision behavior observable instead of opaque.
Positioning
What CLARIXO is and what it is not
CLARIXO Is
A runtime control and visibility layer for routing, guard behavior, runtime memory, and explainable execution across AI providers.
CLARIXO Is Not
A foundation model, a provider replacement, or a standalone chatbot product.
Why It Matters
Most AI systems focus on generation quality. CLARIXO focuses on runtime visibility and behavioral control after deployment.