Interactive AI explainer

See how AI assistants actually work.

Explore how ChatGPT, Claude, and Gemini turn your request into an answer. Follow the context window, tokens, transformer layers, optional AI tools, and work loops behind complex tasks.

Choose assistant lens
The exact internals differ by product. This visual AI explainer shows the shared high-level process.

Language model vs. AI assistant

How a language model becomes a complete AI assistant

Key product differences
Model versionContext limitsMemoryAvailable toolsSafety rulesInterface + speed

OpenAI decides which model, memory behavior, tools, safety layers, and interface features make up each ChatGPT experience.

Simple vs. complex AI tasks

How AI assistants answer simple questions and complete complex tasks

Simple taskUsually one main pass

Explain, summarize, rewrite, brainstorm, or answer directly from the available context.

Complex taskMay repeat several times
Repeat with the new result as context

Use AI tools to research, compare evidence, inspect files, calculate, and revise until the result is ready.

Simple route animated high-level simulation

Build the AI context window

What information does the assistant have for this request?

Scene 1 of 6Ready
Watch for The AI assistant can only use information that reaches its context window.

In plain English

It gathers the context for the task

The product combines your request with higher-priority instructions and useful conversation history. Files or saved memory may be added when available.

Picture thisA desk being prepared with the right brief, rules, and reference pages.

One level deeper

This workspace is called the AI context window

It is different from training. Training shaped the model's weights earlier; context is the information supplied for this specific task.

Common mythThe assistant does not automatically remember or search everything.