AI inference latency sentinel

Monitor first-token latency across model providers and auto-fail over when they degrade

Problem

Users report that inference on AWS Bedrock for OpenAI models has been very slow and glitchy recently, with first-token latency exceeding 5 minutes. For AI-powered products, that directly breaks user experience, but developers only find out after the fact and have no simple way to fall back across providers automatically.

Solution

A lightweight monitoring and routing service that continuously probes first-token latency, error rates, and throughput of major model APIs from the user's region. When a provider crosses a threshold, it automatically routes requests to a backup model or region and logs the reason. Includes a simple status page and webhook alerts.

Users

Indie developers using multiple AI APIs, small SaaS teams, and maintainers of Bedrock- or OpenAI-dependent apps.

MVP

Configure multiple model endpoints and keys; scheduled probes for first-token latency and errors; alerts and auto-failover on threshold breach; 7-day latency trend chart; webhook notifications to Slack or email.

Revenue

Tiered subscription based on probe volume: free for one endpoint, $9–$29/month for multiple endpoints and failover; optional usage-based API billing.

Why now

AI API latency spikes are increasingly common while developers still debug manually. Serverless scheduled probes are cheap, and an indie developer can ship fast while regional probing builds a small moat.