Would you pay for an independent alert service that tells you when an LLM's behaviour has drifted - before your users notice?

Reddit r/artificial / 6/16/2026

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Key Points

The author proposes an independent, three-layer alert service to detect LLM API degradation and behavior drift before end users notice issues.
Layer 1 focuses on transport-level health monitoring by probing TTFT, error rates, and latency across major models every five minutes, currently available for free via tickerr but with a question about paid push alerts.
Layer 2 adds capability drift detection using a scheduled canary suite to measure changes such as formatting compliance, JSON validity, and reasoning quality against a baseline, triggering alerts when drift scores drop.
An optional Phase 2 add-on would let customers bring 5–10 private, use-case-critical prompts that are run on a schedule to detect drift relative to the customer’s own established outputs.
The post asks readers whether they would pay for such a service and seeks input on what checks to include and what a reasonable monthly price would be.

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