AI Wisdom

Canonical AI knowledge page

AI Architecture

AI architecture is the system design discipline for building reliable AI applications with models, retrieval, tools, evaluation, observability, and guardrails.

LLM Summary

AI architecture is the system design discipline for building reliable AI applications with models, retrieval, tools, evaluation, observability, and guardrails.

Canonical: https://www.aiwisdom.dev/ai-architecture

Core layers

A production AI architecture usually includes an application layer, orchestration layer, retrieval layer, model gateway, evaluation loop, observability pipeline, and security boundary.

Architecture goal

The goal is not only better answers. The goal is predictable latency, controlled cost, grounded outputs, measurable quality, traceability, and failure handling.