Intelligent LLM Request Router With Quality Detection

C6/10April 24, 2026

WhatA middleware layer that sits between developers and LLM APIs, automatically detecting when a provider returns degraded model quality and rerouting to a better-performing model in real-time.

SignalDevelopers report suspected stealth model downgrades and have resorted to manual 'calibration prompts' to test if they got a good model instance before submitting real work — they want automated quality assurance on every request.

Why NowProviders are increasingly using adaptive reasoning, model routing, and dynamic rate limits that make output quality unpredictable — the trust gap between what's advertised and what's delivered has never been wider.

MarketTeams and individual developers spending $100-$2400+/month on AI APIs; competes with basic API gateways but none offer quality-aware routing. Could capture value as a percentage of API spend saved.

MoatProprietary quality-detection models trained on real output data across providers improve with scale — more requests processed means better routing decisions.

I cancelled Claude: Token issues, declining quality, and poor support View discussion ↗ · Article ↗ · 903 pts · April 24, 2026

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