How AI works in the real world.
Part 1 showed how one model thinks. This part zooms out: where AI sits in the wider family of technologies, how it safely connects to your company's data, how it can act on its own, and where it actually runs. Still plain language, still hands-on.
1The AI family, nested
“AI” gets used for very different things. These aren't rival technologies — each one lives inside the one before it. Click any layer to see what it is and what it adds.
Artificial Intelligence
The whole field of getting computers to do tasks that normally need human thinking — deciding, recognising, predicting, generating.
The umbrella term that covers everything else here.
Spam filters, route planners, recommendation feeds and chat assistants.
2How AI reaches real company information
On its own, a model only knows general patterns from training — not your files, prices or policies. These are the ways it gets connected to real data, safely.
The hard-wired pipe
A fixed connection between two specific software systems. Reliable, but built one link at a time.
Read first, then answer
The model searches your private documents first and answers using what it actually found.
Search by meaning
A store that finds the right text by meaning, not exact keywords — the engine behind RAG.
One universal plug
A single standard that lets a model securely connect to many tools and data sources at once.
Pick a route and watch where your question — and your data — actually travels.
Plain prompt
Your question goes straight to the cloud model. It answers from general training only — it can't see any of your company's information.
3From following steps to working on its own
Some tools just run a fixed script. Others can plan, hit a snag, fix it themselves, and keep going — but stop for a human before anything risky. Run the same job both ways and watch the difference.
Narrow & linear
A script that uses a model to finish one fixed task. Fast — but it breaks the moment the task changes.
Plans & self-corrects
Models that split work into steps, check their own results, and adapt in a loop until the job is done.
The approval gate
A hard stop that pauses the system for a person to approve before any high-risk action goes ahead.
The system is ready to send a wire transfer. By design, it stops here for a person to confirm before any money moves.
4Modalities, security and the trade-offs
The same kind of model can be deployed in very different places — and each choice trades cost, speed, control and risk. First the key terms, then a live look at the trade-offs.
Text, image & audio together
Handles several input types — words, pictures, sound — in a single pass instead of one at a time.
The image & video engine
Builds pictures by starting from random noise and refining it step by step into a clear image.
The hidden risk
Staff quietly using public consumer tools for company data — convenient, but a serious leak risk.
Kept fully in-house
Running and training models entirely inside your own servers or your country's borders for full control.
Runs on the device
A compact model running directly on a laptop, phone or camera — fast, private, even fully offline.
Choose where a model runs and watch the trade-offs move. There's no “best” — only the right fit for the data.
The rule that keeps AI safe at work: match the tool to the data
The more sensitive or high-stakes the task, the more grounding, control and human oversight it needs.