AI, explained simply — history to agentic AI.

No hype, no jargon walls. What AI actually is, where it came from, and the words everyone throws around — models, LLMs, generative AI, agents — in plain English.

What's covered

What you will understand after reading this

Frequently asked questions

What is a large language model (LLM)?
A large language model is a type of AI trained on vast amounts of text. It learns statistical patterns in language — which words follow which — and uses those patterns to generate, summarise, translate and answer questions. GPT-4, Claude and Gemini are all LLMs. They do not understand language the way people do; they predict the most likely next token given what came before.
What is an AI agent?
An AI agent is a system that uses an LLM to plan and take actions, not just respond. Given a goal, it breaks the goal into steps, calls tools (a search engine, a database, an API, a browser), acts on the results, and repeats until the task is done. A chatbot replies; an agent acts. Most practical AI agents today use Claude, GPT-4 or Gemini as their reasoning core.
Can I build AI tools without a computer science degree?
Yes. Modern AI APIs (Claude, OpenAI, Gemini) are designed to be called from any programming language with a few lines of code. No-code tools like n8n and Make.com let non-developers wire AI into workflows. The hard part today is designing the right prompt and knowing when AI is and is not the right tool — not the mathematics behind it.

Akshay Mahajan — full-stack & AI web developer, Surat, Gujarat, India. akshaymad0608@gmail.com · +91 76008 85080

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