Request queue manager and retry layer for AI writing APIs

A content agency running writers across multiple AI tools hits a pattern their project managers can't explain cleanly: some days everything is fast, other days a writer waits 2-3 minutes for results, and nobody knows if they should retry, wait, or switch tools. The operational cost isn't just the wait — it's the interruption, the context switch, and the manual retry that falls to the writer rather than the system.

This gap persists because the AI writing vendors expose their APIs to paying customers but give them no queue visibility, no retry logic, no fallback routing. When the primary model is under load, users just wait. The vendors have no incentive to add smart client-side retry handling because that would surface how often their infrastructure is actually under strain.

What's missing for agencies specifically is a thin middleware layer that sits between their writers' tools and the underlying APIs — one that detects slow responses, retries with backoff, falls back to a secondary API key or model if latency exceeds a threshold, and logs which requests were slow and when. Right now agencies have no aggregated view of how much time was lost to latency across their whole team — they only hear complaints one writer at a time.

This is a business and not a feature because the agencies buying multi-seat licenses are the same buyers who care about utilization rates and billable hours. A tool that documents 'your team lost 22 hours last month to API latency across these five tools' creates a concrete ROI conversation — both for selling the middleware and for renegotiating vendor contracts.

What to build

Build a lightweight proxy server (self-hosted or managed) that intercepts outbound API calls from common AI writing tools, applies configurable timeout thresholds and retry logic, routes to fallback API keys when primary calls exceed latency limits, and produces a weekly per-writer latency report exportable to CSV.

Where to start

Offer a free read-only latency logging mode first — agencies install it, it observes their existing API traffic without intercepting it, and after two weeks they have a report showing exactly how much time was lost. That report is the sales conversation for the paid retry layer.

The hard part

Getting the first agency to route production API traffic through a new third-party proxy requires a level of trust that takes time to build — you almost certainly need a self-hosted deployment option on day one, which doubles the support surface before you have any revenue.

How it makes money

Monthly subscription at $49-149/month depending on API call volume, with a free tier that covers logging-only mode up to 10,000 API calls per month.