AI API usage often starts as an individual developer workflow.
One person tests a model, writes the integration, and ships a feature.
But once a team starts building more AI-powered features, API management becomes a shared problem.
Teams need visibility into:
- Which models are being used
- Where documentation lives
- How usage is tracked
- How API access is managed
- How different workflows connect
Without a clear system, the workflow becomes scattered and hard to maintain.
ChinaRouter is built around this problem. It is a unified AI API gateway and admin dashboard for developers, AI builders, and teams.
Website: https://chinarouter.net/
For teams building AI products: how do you currently manage model access and usage?
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