Plain-language AI concepts for manufacturing teams that want practical understanding first.
Use this glossary to explain AI in shop-floor language, connect concepts to real manufacturing situations, and capture reflections about where the explanation applies in your work.
Featured term explainers
These direct term pages keep the deeper glossary explanations crawlable and linkable for readers who land from search with one concept in mind.
Token
A token is one small piece of text the model reads before it can answer.
Context Window
A context window is the amount of text and information the model can keep in view at one time.
Environment
The environment is where the AI is being used, such as a CLI, IDE, web app, or mobile app.
Chat Agent
A chat agent is an AI workflow reached through messaging surfaces such as Slack, Telegram, or Teams.
RAG
RAG lets AI search your own documents before answering.
Human in the Loop
Human in the loop means people still review, approve, or steer the AI output.
Search and filter
Start with the foundations if someone is new to AI. Use context, retrieval, and safety terms when you want to understand why answers improve, where trust comes from, and how these ideas fit actual shop work.
Integration bridges
Learning content is strongest when it connects to the rest of the manufacturing knowledge stack. These are the first bridge points already present in this app.
Connect to OAP
Use AI terms to explain platform workflows before learners hit operator checkpoints or mentor sign-off.
Connect to GCA
Tie AI explanations to alarm interpretation, code patterns, machine context, and controller learning.
Connect to Handbook
Ground AI literacy in reference material so people can move from concept to procedure without leaving the app.
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