Glossary
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No jargon defined with more jargon. Every term gets a plain-English answer first. Read a term to unlock it β see how many you can collect.
The basics
What is AI?
Software that can understand and create language.
Read βWhat is an LLM?
The βbrainβ behind a chat AI. Large Language Model.
Read βWhat is a prompt?
Just the message you send the AI.
Read βWhat is a model?
One specific βversionβ of an AI you can use.
Read βWhat is a chatbot?
A program you talk to by typing.
Read βGetting more out of it
What is an agent?
An AI that does work, not just chats.
Read βWhat is a workflow?
A set of steps, done in order, automatically.
Read βWhat is automation?
Letting a computer do a boring task for you.
Read βWhat is no-code?
Building software without writing code.
Read βWhat is vibe coding?
Building by describing what you want to an AI.
Read βWhere things live
What is an API?
How two apps talk to each other.
Read βWhat is an MCP?
How AI plugs into your other tools.
Read βWhat is the cloud?
Someone else's always-on computer, online.
Read βWhat is Railway?
A place your thing lives online.
Read βWhat does βdeployβ mean?
Putting your thing live on the internet.
Read βGood to know
What is a hallucination?
When the AI confidently makes something up.
Read βWhat is a context window?
How much the AI can βhold in mindβ at once.
Read βWhat is training data?
Everything the AI learned from.
Read βWhat is fine-tuning?
Teaching a general AI your specific style.
Read βWhat does βopen sourceβ mean?
Software anyone can see, use, and build on.
Read βWant the fuller story behind these words?
The blog takes the big ones β agents, MCPs, language models, deployment β and explains them slowly, with everyday examples.