Building AI That Doesn't Break: Fallbacks, Rate Limits & Reliability

​Building an AI application is one thing. Keeping it reliable in production is another.

​Model outages, rate limits, and unexpected traffic spikes can disrupt even the most sophisticated AI applications. How can you build systems that stay resilient when things don't go as planned?

​Join OpenRouter for a practical webinar exploring how to build reliable AI applications using model fallbacks, rate limit management, and production-ready infrastructure.

​We'll look at how to handle model failures, manage traffic spikes, and design systems that maintain performance and availability as your application scales.

Speaker

- Travis Groth, Director of Customer Engineering

​What we'll cover:

• ​Model Fallbacks: Keep your application running when your primary model fails or becomes unavailable.

• ​Rate Limits: Handle throttling and traffic spikes without compromising performance.

• ​Reliability at Scale: Design AI systems that can handle real-world production challenges.

• ​Best Practices: Practical strategies for building more resilient AI infrastructure with OpenRouter.

​Whether you're building your first AI-powered product or scaling an application already in production, this session will help you build with more confidence.

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OpenRouter is the unified interface for LLMs: 500+ models from 80+ providers, processing 400T+ monthly. Better prices, better uptime, no subscriptions.