The AI Systems Glossary
Modern AI is less about one clever model and more about the system built around it: what you feed it, what it can reach, and the limits it runs inside. This glossary explains those concepts in plain language, for leaders and teams who need to make decisions and talk to builders with confidence. No hype, no jargon left unexplained.
Foundations
What a model actually is, and what it can and cannot do on its own.
Agents & Orchestration
How AI moves from answering questions to carrying out multi-step work.
Context, Memory & Knowledge
Feeding the model the right information at the right moment — the highest-leverage part of most AI systems.
Connecting AI to Real Systems
The plumbing that lets AI reach the tools and data your business already runs on.
Safety & Governance
The controls that turn a capable but unpredictable model into something a business can deploy with confidence.
Put it to work
Want these built into your systems, safely?
We design, build, and operationalize AI systems with the context, guardrails, and governance this glossary describes — reliability from architecture, not model magic.