Fast answer
The glossary is a free reference that explains more than 100 AI agent terms without jargon, covering concepts like LLM, RAG, fine-tuning, orchestration, and embeddings so you finally understand what they mean for your business. It is designed for business owners, marketers, operators, and non-technical professionals who encounter AI terminology in sales calls, product documentation, and industry articles, with every definition written in plain English and business context rather than academic or engineering language. It is updated monthly as new terminology emerges, prioritizing the terms non-technical users are most likely to hear. You can use it to evaluate vendors: when a vendor mentions a RAG pipeline or multi-agent orchestration, the glossary tells you what they mean so you can ask informed follow-up questions and avoid being oversold. Each definition is drafted for clarity and reviewed by AI engineers for accuracy, balancing accessibility with correctness. You do not need every term to deploy agents; treat it as a reference for when you hit something confusing.
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What this page covers
A tool visitor should leave with a decision, not just a number: build now, prepare first, choose another workflow, or follow a course path.
- 01Search
- 02Definitions
- 03Categories
- 04Related terms
Why does this matter now?
Search 100+ AI agent terms explained without jargon. LLM, RAG, fine-tuning, orchestration, embeddings - finally understand what they all mean for your business. Free reference.
Internal path
Where to go next from this page
These links are part of the A8gent learning and conversion path. Use them to move from concept, to diagnosis, to workflow build, to course.
What you should be able to do after this
- Term lookup
- Plain English definitions
- Related concepts
- Business context
How do you do it, step by step?
1. Get started
Search 100+ AI agent terms explained without jargon. LLM, RAG, fine-tuning, orchestration, embeddings - finally understand what they all mean for your business. Free reference.
What mistakes should you avoid?
- Not understanding: Who is this glossary designed for - Business owners, marketers, operators, and non-technical professionals who encounter AI terminology in sales calls, product documentation, and industry articles.
- Not understanding: How often are new terms added - The glossary is updated monthly as new terminology emerges in the AI agent space.
- Not understanding: Can I use this glossary to evaluate AI vendors - Absolutely.
FAQ
Who is this glossary designed for?
Business owners, marketers, operators, and non-technical professionals who encounter AI terminology in sales calls, product documentation, and industry articles. Every definition is written in plain English with business context rather than academic or engineering language.
How often are new terms added?
The glossary is updated monthly as new terminology emerges in the AI agent space. The field moves quickly - terms that did not exist 6 months ago become common in vendor pitches and industry coverage. We prioritize adding terms that non-technical business users are most likely to encounter.
Can I use this glossary to evaluate AI vendors?
Absolutely. When vendors use terms like 'RAG pipeline' or 'multi-agent orchestration,' this glossary tells you what they mean in plain English so you can ask informed follow-up questions. Understanding the terminology prevents you from being oversold features you do not need or undersold capabilities you should demand.
What is the difference between this and a Wikipedia article?
Wikipedia explains terms for a general audience with academic accuracy. This glossary explains terms specifically for business decision-makers with practical context: what it means for your operations, why a vendor mentions it, and whether you should care about it when evaluating AI tools for your business.
Do I need to understand all these terms to use AI agents?
No. You can successfully deploy AI agents without understanding most of the technical terminology. The glossary is a reference tool for when you encounter unfamiliar terms - not a prerequisite for getting started. Start with our assessment tool and refer to the glossary only when you hit terms that confuse you.
Are the definitions reviewed by technical experts?
Yes. Each definition is drafted for plain-English clarity and reviewed by AI engineers for technical accuracy. We balance accessibility with correctness - simplifying without introducing inaccuracies. If a term has multiple meanings in different contexts, we explain the most relevant interpretation for business users.
Sources & further reading
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