Operations Guide
AI API Integration Checklist Framework for Production Systems
60% of AI projects fail due to integration obstacles. This framework provides a 24-item checklist across 6 phases with risk assessment and validation criteria for production API integrations.
Direct answer
60% of AI projects fail due to integration obstacles. This framework provides a 24-item checklist across 6 phases with risk assessment and validation criteria for production API integrations.
Fast path
- Planning: Obtain API credentials, review documentation, estimate traffic/costs, check compliance.
- Development: Implement auth layer, request handlers, error handling, caching, input sanitization.
- Testing: Write unit tests (>80% coverage), integration tests, load testing, security penetration.
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Implementation Steps
- Planning: Obtain API credentials, review documentation, estimate traffic/costs, check compliance.
- Development: Implement auth layer, request handlers, error handling, caching, input sanitization.
- Testing: Write unit tests (>80% coverage), integration tests, load testing, security penetration.
- Deployment: Create deployment checklist, configure rate limiting, enable audit logging, staging deploy.
- Monitoring: Set up latency monitoring, error rate alerts, cost tracking dashboards.
- Maintenance: Schedule key rotation (90 days), quarterly security review, documentation updates.
Related Guides
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