AI-Augmented Product Engineering

Integrate LLMs and AI capabilities into production applications with clean architecture, cost discipline, and reliable user experience.

Quick Reference

Concern	Defaults
LLM API integration	Anthropic SDK, OpenAI SDK, Vercel AI SDK
Streaming responses	SSE / ReadableStream + AI SDK streamText/streamObject
Structured output	JSON mode, tool_use/function calling, Zod schemas
Chat interface	AI SDK useChat hook, custom streaming UI
AI-assisted forms	Inline suggestions, auto-complete, content generation
Guardrails	Input/output filtering, content moderation, PII detection
Cost management	Token counting, caching (semantic + exact), model routing
Multi-provider	AI SDK provider abstraction, Portkey, LiteLLM, or a thin internal router
Evaluation	Human feedback, LLM-as-judge, A/B testing AI variants
RAG in products	Vector search + context injection (see also ai-rag for deeper patterns)