The resilience coordinate for AI systems that degrade gracefully when primary model calls fail.
A .com position naming the architectural pattern of automatic fallback routing when a model is unavailable, slow, or produces unacceptable output.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
Model · Cross-Vertical · 2 compound moats. Architectural surface: Model, Fallback.
Layer position: Cross-cutting
Why this is canonical
'Model fallback' is the practitioner term for a critical reliability pattern in production AI systems: when the primary model fails or is unavailable, the system routes to an alternative. As multi-model architectures mature, fallback becomes a first-class design concern rather than an edge case.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.