For people who can't paste client work into a chatbot

Set up a private AI assistant on your own laptop.

A step-by-step guide to running a capable AI assistant locally — chat, document Q&A, and three ready-made assistants — with your files staying on your machine. No subscription, no API key, no Python.

Windows · macOS · LinuxBeginner-friendly~60 minutesNo coding
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Private AI Blueprint
Run AI
on your
own
machine.

No subscription. No account. Nothing leaving your laptop.

28-page guide · 8 printable references
The problem

You already know what you shouldn't paste into a chatbot.

Client material
Contracts, briefs, financials, anything under an NDA. The AI would help. The confidentiality clause disagrees.
Unpublished work
Research, drafts, product plans, medical or legal notes — things you don't want sitting on someone else's server.
The monthly bill
Per-seat pricing, changing terms, features moving behind tiers. Useful, but it's rented.

The tools to run a capable assistant on your own hardware are free, open, and genuinely good. What's missing is a clear path through them — which is what this guide is.

What you'll have in an hour

Four working pieces, not four tabs of documentation.

01
A model running locally
Installed and answering — with a test that proves the inference is happening on your machine and not somewhere else.
02
A real workspace
Saved conversations, file uploads, reusable assistant presets. A terminal proves it works; this makes it usable.
03
Q&A over your own documents
Load your files into a local knowledge base and ask questions against them, with a source trail you can check.
04
Three assistants, written for you
Research · Private Knowledge · Daily Work. Full prompts to copy in, with what each is good at and where it fails.
Inside the guide

28 pages. Seven phases.

Written to be worked through in order, then kept open on the desk. The first five phases get you running. The last two keep it safe and let it grow.

Written straight

It tells you where local AI is worse than the cloud, when a laptop isn't the right machine, and where "private" stops being true. You'll make better decisions with that than without it.

01Understandwhat you're building, and the 60-minute roadmap
02Preparecloud vs local, the privacy boundary, will my computer run it, choosing a model
03Installthe engine on your OS, then a proper interface
04Buildfirst-success tests, your documents, the three assistants
05Useten things to do this week, and an 11-row troubleshooting matrix
06Securethe checklist to work before real data, and assistant vs agent
07Expandoptional automation, maintenance, glossary, official links
Also included

Eight printable one-pagers for the desk.

01
Start Here
The whole path on one sheet.
02
Model Selector
Match a model to your RAM.
03
60-Minute Checklist
Tick it and you're done.
04
Research Assistant
Prompt card, ready to paste.
05
Knowledge Assistant
Prompt card, ready to paste.
06
Daily Work Assistant
Prompt card, ready to paste.
07
Security Checklist
Before any real data.
08
Troubleshooting Sheet
The page you'll actually use.

Is this for you?

Yes, if you
Handle work you can't put through a third-party service
Want an AI workspace that doesn't need an account or a card
Have tried and got lost in conflicting forum instructions
Prefer understanding the system to copying commands blindly
No, if you
×Need frontier-model capability — a local model on a laptop isn't that
×Already run local models comfortably; you know this material
×Want autonomous agents doing your job unattended
×Can't install software on your machine

Own the setup, not another subscription.

Everything you install is free and open source. You're paying for the hour of confusion you skip, and the decisions already made for you.

$14$29
Launch price · one-time
28-page illustrated guide (PDF)
Three assistant prompts, copy-paste ready
Eight printable one-page references
Security checklist & troubleshooting matrix
Free updates to Edition 1.x
Buy & download now →
Instant download · 14-day refund, no questions asked
Reader reviews

What people said after the first hour.

★★★★★
I'd bounced off three video tutorials before this. The hardware tier table alone saved me from downloading a model my laptop couldn't run. Working setup in about forty minutes.
Portrait of Marta KowalskiMarta KowalskiFreelance translator
★★★★★
The part I actually needed was the map of what leaves the machine and what doesn't. Our client contracts hinge on that, and nobody else spells it out this plainly.
Portrait of David WhitfieldDavid WhitfieldSmall-practice solicitor
★★★★★
No hype, no affiliate links, no pretending a local model beats the frontier ones. It tells you where it's genuinely better and where it isn't. Refreshing.
Portrait of Ellis RenardEllis RenardResearch librarian
Not ready yet?

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Straight answers.

Do I need a powerful computer?
8 GB of RAM runs a small model; 16 GB is the comfortable spot. The guide has a tier table so you know what to expect before you download anything.
Is the software free?
Yes. Everything installed is free and open source. This guide is an independent walkthrough — it isn't affiliated with, endorsed by, or selling any of those projects.
Is it as good as the big cloud models?
No, and the guide says so plainly. A local model is an excellent editor, summariser and document assistant. For frontier reasoning, the cloud still wins. Many people run both.
Does my data really stay local?
The core setup runs offline — there's a test in the guide to verify it yourself. But features like web search or cloud-hosted models do send data out. The guide maps exactly where that line sits.
I'm not technical. Can I do this?
If you can install an application and paste one line into a terminal, yes. No coding, no Python for the core path.
Will it go out of date?
Screens change; architecture doesn't. The guide teaches the decision logic and links the official docs for every step — and Edition 1.x updates are included.
Free reference
Best local LLMs for laptops, by RAM tier

Not sure your machine can handle it? Check which models fit 8, 16, 32 or 64 GB before you buy anything.

Read the comparison