IdeaRadar
Stop serving the wrong model at peak time
Detect routing flips and auto-fallback before customers notice.
Score 8.0/10 · Build now
Smart tools
1 March 2026
Proof at a glance
8.0 out of 10. Score 8.0/10 · Build now
The problem
Infra-minded ML engineers and indie devs running multi-model stacks hit silent routing or backend-precision failures at 2–12 hour scales. Those incidents cost teams hundreds to thousands of dollars and hours of trust-repair (examples: 'every single one of my questions gets routed to 4o mini' and silent fp8 corruption causing bad outputs). Provider dashboards and model servers show tokens and latency but do not validate semantic correctness or run cross-model canaries with auto-fallback.
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