Integration Checklist
Comprehensive checklist for AI integrations
API Setup
Prompt Engineering
Data Pipeline
Safety & Security
Monitoring & Ops
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What is an AI Integration Checklist?
Integrating AI into production systems requires careful attention to many details beyond just making API calls. This checklist covers the essential aspects of a production-ready AI integration—from API configuration to monitoring and safety.
Use this as your go-to reference when building AI-powered features. Track your progress and export the checklist as markdown for your project documentation.
Checklist Categories
API Setup
Secure key management, rate limiting, retry logic, and timeout handling.
Prompt Engineering
System prompts, output formatting, few-shot examples, and guardrails.
Data Pipeline
Chunking strategy, embedding models, vector databases, and metadata.
Safety & Security
Input sanitization, output validation, PII handling, content moderation.
Monitoring & Ops
Logging, cost tracking, latency monitoring, error alerting.
FAQ
Is every item required?
Not always. Prioritize based on your use case. Customer-facing apps need more safety items; internal tools can be simpler.