Key details at a glance
AI integration architecture layers from the bottom up: LLM API (GPT, Claude, Gemini, Llama) → AI Layer (prompts, guardrails, context, evals) → Your Product. RAG (Retrieval-Augmented Generation) connects your own documents to a vector database for grounded, accurate AI responses. Fine-tuning trains domain-specific models; agents handle multi-step autonomous tasks beyond single-response interactions. The highest-payback AI integration workflows in 2026 are document Q&A, content generation, support bots, code review assistance, data extraction, and predictive scoring — start small, evaluate first, then scale.
