Everyone is talking about AI models. Almost nobody is talking about the biggest problem: AI infrastructure is fragmented. $ROUTER 0x2A8Cc0705fBAC8B38262857cF6E5984C30CF984E 1. Today every AI provider has its own: • API • pricing • rate limits • uptime • authentication If you build AI products, you’re constantly switching between providers. It’s inefficient. 2. Imagine your app depends on GPT-4. OpenAI has an outage. Now what? Your product stops working. That’s not an AI problem. That’s an infrastructure problem. 3. Or another scenario: Claude gives the best answer. DeepSeek is 20x cheaper. Gemini is free. Which one should your application choose? Most developers hardcode the decision. 4. The internet solved this years ago. You don’t manually choose every network hop. Routers do it automatically. AI needs the same abstraction layer. 5. That’s exactly the problem projects like 9Router are solving. Instead of connecting to dozens of AI providers… You connect once. The router decides: ✓ fastest ✓ cheapest ✓ available ✓ fallback if one fails. 9router.com/

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The project is still evolving, and this is just the beginning. If you’re following the journey, here’s the Stay tuned.

I’ve been working on a simple way to manage multiple AI providers through a single endpoint, without having to constantly switch between different APIs and configurations. The goal is to make the whole workflow easier from routing requests and handling different providers to managing accounts, quotas, and fallbacks. Still a work in progress, but it’s starting to come together. 9router.com/