Glossary

AI terms, in language that respects your time.

Definitions written for operators, not researchers: what each term means, why it matters commercially, and a real example from delivery practice.

AI agent

Software that can plan, use tools and complete multi-step work with supervision.

The engine behind modern AI text work: models trained on language that can read, write and reason.

Making AI answer from your documents instead of its memory, with citations.

Additional training that adapts a model to your domain, style or task.

Storage built for meaning: finds content by similarity, not just keywords.

Numbers that represent meaning, so computers can compare ideas.

Designing the instructions and context that make models behave reliably.

How AI systems use your tools: APIs, databases and actions.

The operations discipline that keeps AI systems dependable in production.

Automated tests that measure AI output quality against your standards.

The rules and checks that keep AI behavior inside safe, useful bounds.

AI that works across text, images, audio and video together.