Failure is treated as a normal condition rather than an exception.
The platform includes built-in mechanisms for:
automatic retries with backoff,
model and service fallback,
execution path re-planning,
and partial workflow recovery.
Instead of collapsing entire systems when a single component fails, NativelyAI isolates failures and reroutes execution wherever possible.
This resilience is critical for AI-native applications, where probabilistic components must operate within deterministic system boundaries.
Last updated 16 days ago