Getting Started with OpenAI API
OpenAI's API provides access to GPT-4o, GPT-4 Turbo, and GPT-3.5 Turbo models. Sign up at platform.openai.com, generate an API key, and install the SDK (pip install openai for Python, npm install openai for Node.js). Start with GPT-3.5 Turbo for development — it's 20x cheaper than GPT-4.
Prompt Engineering Fundamentals
The quality of AI output depends entirely on prompt quality. Key principles: be specific about output format (JSON, bullet points, table), provide context and examples (few-shot prompting), set clear constraints (word count, tone, audience), and use system messages to define the AI's role and behavior.
Practical Integration Patterns
Common AI features in apps: customer support chatbot (FAQ answering), content generation (product descriptions, blog drafts), code review assistant, document summarization, and sentiment analysis. Start with the simplest use case — a support chatbot that handles your top 20 FAQs.
Cost Optimization
OpenAI pricing is per token (roughly 750 words = 1,000 tokens). Optimization strategies: cache common responses (Redis with 24-hour TTL), use smaller models for simple tasks, truncate conversation history to last 5-10 messages, and implement streaming to improve perceived performance.
Building Production-Ready AI Features
Production considerations: implement retry logic with exponential backoff (API has rate limits), add content filtering for user-generated prompts, log all AI interactions for debugging, implement fallback responses when API is unavailable, and monitor costs daily to prevent bill shock.
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