Everyone uses LLMs. Almost nobody understands what's happening under the hood

Every LLM response goes through 6 steps
Here's what happens:

study this and you'll never look at AI the same way:

⭕ TOKENIZATION

Text gets broken into tokens (words, subwords, or characters)

Single-Agent vs Multi-Agent Workflow.
This visual explains it better than any article could.
Save it before you architect your next system.

stop calling every AI model an LLM
let me break it down real quick:

what’s an LLM ?

A large language model that reads text token by token to understand and generate language.

but that’s just one type
here are others:

Here's what kills most AI agents

→ Break when users don't follow the script
→ No retry logic when external APIs fail
→ Restart from zero every time something goes wrong
→ Can't handle multi-step reasoning without losing context

You need LangGraph