Overview
AI integration is connecting an existing AI model or service — an LLM, a recommendation engine, a computer vision API — into a product, rather than training a model from scratch. In practice it means wiring up an API, handling the data that flows in and out, and designing the interface around what the model returns.
Why it matters
Most businesses don’t need to build their own model — they need one working reliably inside a product people already use, for search, recommendations, support automation, or document processing. Done carelessly, AI features feel bolted on: slow, inconsistent, or confidently wrong.
How Dotcode applies it
We integrate AI where it solves a real problem for the user, and we treat model output as something to validate and constrain — not something to trust blindly.
