Building Production-Ready Generative AI Applications

Moving from prototype to production-ready generative AI is where most projects fail. Production requires reliability, monitoring, graceful degradation, and operational excellence. This comprehensive guide covers everything needed to deploy AI apps that work reliably at scale.

Production Readiness Checklist

Reliability Patterns

Retry with Exponential Backoff

async function generateWithRetry(prompt, maxRetries = 3) {
  for (let i = 0; i < maxRetries; i++) {
    try {
      return await llm.generate(prompt);
    } catch (error) {
      if (i === maxRetries - 1) throw error;
      if (error.status === 429) { // Rate limit
        await sleep(Math.pow(2, i) * 1000);
      } else {
        throw error; // Don't retry non-transient errors
      }
    }
  }
}

Fallback Strategies

Monitoring and Observability

Track these critical metrics:

Error Handling

Versioning and Rollback

Always be able to rollback changes instantly:

• • Version your prompts (prompt_v1, prompt_v2)
• • A/B test new versions before full rollout
• • Keep previous version running for instant rollback
• • Track which version served each request

Best Practices