01 · SIGNALS
Change matters more than a static score
Uncertainty acceleration, route instability, and masked ambiguity can reveal failure earlier than a final confidence value.
Runtime routing research · Finland
Route uncertainty before consequence.
GhostRouter is a runtime routing layer for AI systems that cannot treat every request, model state, or execution path as equally safe.
It observes changing signals, resolves the current epistemic state, and routes work toward a bounded cloud, local, edge, verification, or stop path.
The missing layer
Telemetry tells you what happened.
Routing decides what happens next.
GhostRouter treats uncertainty as changing operational state, not as a decorative metric.
02 · ROUTING
Different states need different paths
A request may continue, verify, switch route, degrade capability, or stop and re-anchor before execution.
03 · CONTROL
Recommendation is not permission
GhostRouter separates model output, routing state, and authority to execute. YES does not automatically mean SEND.
Runtime architecture
A reflex arc before the long reasoning loop.
Fast state resolution protects the decision window while slower reasoning continues where appropriate.
1
Observe
Read telemetry, context, uncertainty delta, identity, timing, and route health.
2
Resolve
Map signals into a symbolic state such as stable, under-specified, unstable, or blocked.
3
Route
Choose cloud, local, edge, verify, reroute, or stop according to explicit policy.
4
Prove
Emit a trace that shows what was seen, what state was resolved, and why the path was chosen.
Research direction
GhostRouter studies the moment before a system commits.
The work focuses on uncertainty dynamics, causal mistakes, epistemic state changes, runtime route selection, and the boundary between recommendation and execution.
Δ
Uncertainty acceleration
Detecting change before the final output looks obviously wrong.
↯
AI reflex arcs
Preserving a decision window without waiting for full deliberation.
⊘
False causality resistance
Separating temporal proximity from justified causal interpretation.
◇
Human-controlled execution
Maintaining a real refusal and approval boundary before consequence.
Contact
Design partnerships, research collaboration, and early access.
Tell us what your system routes, where uncertainty enters, and what must never happen automatically.
Gary@ghostrouter.fi