1
Create your account
Open light.aius.co/login, choose Register, and
enter your email and a password of at least 12 characters. Create
account signs you in.
You land on the Projects page of your personal organisation, named after
your email address, for example Personal (ana.lopez). It is yours from
the start: create projects in it, publish to it, and invite colleagues later
if you want to. The page opens with how AIUS works: the analysis runs in the
terminal on your computer, next to your data, and its results come here.
There is nothing to upload.


2
Install the terminal
On macOS (Apple Silicon) or Linux (x64), run this; on Windows, run it
inside WSL:
aius works in the same terminal; when the installer asks you to, run
. ~/.aius/env first. Installation covers
updating, specific versions and the Python packages the data tools use.3
Sign in from the terminal
Go to a folder that holds your data and start AIUS. The first time, it asks
you to sign in:
Press Enter (or choose browser) to sign in, or to create an
account, in your default browser. Choose device code
(Ctrl+D) to approve from any browser. The terminal then
shows an address and a code:
Open the address, check that the code matches and choose Allow access.
One approval connects both the AIUS models and your web platform account.
AIUS then links the folder to a project in your personal organisation in
AIUS Light, and says so. Your files stay on your computer. Your
conversations, including what the agent reads from your files, are kept in
AIUS Light so you can continue them on any computer
(Folders and projects). The home screen shows the project
as AIUS Light: term-deposit-campaign; click it to open the project in
your browser. Until it has a report, the project page explains how AIUS
works for it: you ask in the terminal, and the report appears there.



4
Ask a question about your data
Describe the decision you need to make and point the agent at your files.
Ask for the evidence you want to see, and say where the result should be
published:
The agent inspects the data first, writes its code under

output/, runs it
in your project’s Python environment and checks its own numbers.5
Approve, publish and read the report
The agent publishes reports to the project your folder is linked to by
itself. Here the result goes to a new project in another organisation, so
it asks first, proposing to attach its analysis code, executed notebook and
aggregate results and to keep the raw contact rows and row-level
predictions local:
It then reviews the report, publishes it and gives you the link:
Open the link to read the report, its evidence and its attached files on the
web platform. Worked example walks through this report
section by section.Then keep working in the terminal. Ask follow-ups there, and ask AIUS to
update the report when the answer changes: each update is a new revision
of the same report, and earlier revisions stay readable. While


aius runs,
you can also ask from the project page, in the AIUS panel
(Your computers).