A lot of AI product discussions focus on prompts, model quality, agents, and user experience.
Those things matter.
But as more teams build AI-native applications, the API layer needs better tooling too.
Developers need clearer ways to handle:
- Model discovery
- API access
- Usage tracking
- Integration documentation
- Dashboard workflows
This is especially important when AI products move from experiments to production workflows.
ChinaRouter is one attempt to work on this layer.
It is a unified AI API gateway and admin dashboard focused on model marketplace access, API gateway workflow, usage lookup, dashboard management, and integration documentation.
Website: https://chinarouter.net/
I think this kind of infrastructure will become more important as AI applications mature.
What do you think is still missing in AI API tooling?
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