Manual · INEMA method · local tools

You can’t control the sea. Only the helm.

4 steps to get through the next 2 years of AI without panic — and a guide to creating your own manual.

AI manual: 4 steps to get through the next 2 years without panic
In brief

This is a short manual for anyone who feels anxious about artificial intelligence news. It organizes the subject into 4 steps: understand what happened, know who is speaking and why, measure what is changing in your work, and act in small doses. It comes with 5 simple tools that run on your computer without an internet connection, plus step-by-step instructions for creating a similar manual for your family, team, or school. To read it, just open the page; to use the tools, all you need is Python 3.

Videos

The 4 steps on video (in Portuguese)

What it is

A small boat in the fog

The metaphor behind the entire manual: the sea and the wind are AI, companies, and governments. You don’t command them. But the helm is yours.

The manual’s 4 steps and the tools The Window and One task a day
✕

What you can’t control

The speed of models, companies’ decisions, the race between countries, tomorrow’s headlines.

✓

What you can control

When you read the news, how you read it, what you learn, how you use AI in your work, and whom you help.

📖 A 5-minute manual

One file per step and a single page to print and put on the fridge or team bulletin board.

🛠️ 5 local tools

Python scripts with no dependencies, account, or internet connection. Your data stays in a file on your machine.

🧩 How to create your own

The process we use to turn a topic into a manual, videos, and tools, with tools for each stage.

The method

The 4 steps

Each step answers a question and has a tool. Follow them in order the first time; after that, return to whichever step you need.

1. Read the winds

What happened?

Write the news in one line, without adjectives, and find the human decision that came first.

campo.py

2. See through the fog

Who is speaking, and why?

Three fields and a fourth player. Four questions. One window each week for the news.

janela.py

3. Find the lighthouse

What changes in MY work?

Run your tasks through the TLC model: Trust, Learn, Contact.

tlc.py

4. Row to the shore

What do I do now?

Look back, do one task a day with AI, and find your contribution.

tarefa_dia.py · contribuicao.py
1

Winds that have been blowing

Reports of AI agents that, during break-in tests with protections deliberately reduced, left the isolated environment and reached real systems; models writing instructions for themselves; AI finding flaws in companies during security tests; predictions of catastrophe. Almost always, there is a human decision at the start — and human decisions can be held accountable.

Manual rule: if you can’t verify a number in the source, label it “they say.”

4

Three oars

Look back: in 1975, at Asilomar, biologists paused genetic engineering and wrote rules; aviation gained agencies such as the FAA; the US and USSR signed nuclear agreements.

One task a day: avoided fear grows; fear faced in small doses shrinks.

Your contribution: “You can’t cover the Earth in leather, but you can put on a pair of shoes.”

Step 2 · see through the fog

The three fields and the fourth player

Almost every AI story comes from one of these places. None is a villain; each has an incentive. Seeing the whole board doesn’t tell you who is right — it tells you why each one speaks the way they do.

Safety

“Let’s go slowly”

Limits, testing, regulation.

IncentiveCompanies preparing to go public; “only we know how to control it” sells too. Watch for mythical product names.
Accelerationists

“Faster”

Speed, open source, less regulation.

IncentiveMany are investors: the faster things move, the greater the return.
Centrists

“Today’s harms”

AI is a powerful tool. Focus on jobs, deepfakes, bias, and personal data.

IncentiveFewer headlines, more practical details. Often researchers and journalists.
Government · 4th player

“The race”

US × China. Economy.

IncentiveA large share of the stock market depends on AI companies. Hitting the brakes costs a lot.
?What am I assuming?
✓What are the facts?
◎Which field does it come from?
$What is the incentive?

The Window: one time each week to make room for anxiety

Psychology calls this worry postponement. During the week, just write down the headline. At a set time, read everything, mark the field, answer the four questions, close the window, and move on.

Monnote
Tuenote
Wednote
Thunote
Frinote
Satnote
Sun 6 pmread · close
Step 3 · find the lighthouse

The TLC model

Socrates thought writing would destroy memory. Tractors, radio, TV, and smartphones came with the same alarm — psychologist Amy Orben, from Cambridge, calls this the technology panic cycle. Instead of general panic, assess your own situation: each barrier lowers the risk.

T
Trust · Trust

Does the work require trust and someone accountable for the result?

A barrier when the answer is yes. We still don’t trust a robot doctor, auditor, or lawyer.
L
Learn · Learn

Can AI quickly learn what you do? Digital, repeatable, and easy to check = quick to learn.

A barrier when the answer is no.
C
Contact · Contact

Does it require physical contact with the world: hands, body, presence, place?

A barrier when the answer is yes.

Barriers × exposure

Programming0/3 · HIGH
Chat support0/3 · HIGH
Accounting1/3 · MEDIUM-HIGH
Electrician2/3 · MEDIUM-LOW
Nursing3/3 · LOW
Illustrative examples (each filled square = one barrier). Run tlc.py with your answers: the same profession changes depending on the tasks. Programming and chat support pass through all three without stumbling — that’s why they feel it first.

Your advantage: human connection + expertise in your field. Computers have beaten us at chess for decades, and we still play chess — with other people.

Requirements

Just Python 3

You don’t need anything to read the manual. For the tools, you need Python 3.10 or newer (already included on Linux and macOS; on Windows, install it from python.org and replace python3 with py in every command). Commands are typed in the terminal: Terminal on Linux and macOS, PowerShell on Windows.

Download the repository

Use git, or click “Code → Download ZIP” on GitHub.

git clone https://github.com/inematds/manual-2-anos-ia
cd manual-2-anos-ia   # downloaded the ZIP? the folder is manual-2-anos-ia-main

Check that everything works

Runs the tools’ 16 tests. It should finish with OK.

python3 -m unittest
# Ran 16 tests ... OK
User guide · step by step

The 5 tools, one at a time

After step 1, run the commands from the ferramentas/ folder. What you write down is saved in a file in ~/.manual-ia/, in your home folder. To store it elsewhere, first run export MANUAL_IA_DADOS=/other/folder (in PowerShell: $env:MANUAL_IA_DADOS="C:\other\folder") or add --arquivo my.json to the command. The tools print their messages in Portuguese.

1

Read the one-page manual

Start with manual/MANUAL.md (in Portuguese). Details for each step are in manual/01…04.

cat manual/MANUAL.md   # read the manual in the terminal (or open the link above)
cd ferramentas         # the next commands run inside this folder
2

Build a news card (steps 1 and 2)

campo.py asks questions and returns a card with the field, incentive, facts, and assumptions. Without arguments, it asks everything in the terminal. Values for --campo: seguranca (safety), acelera (accelerationists), centro (centrists), governo (government), or "?" if you are not sure yet.

python3 campo.py --manchete "AI breaks into company during test" --quem "lab X" --campo seguranca --incentivo "show that the model is powerful" --fato "authorized test" --suposicao "it will happen at any company"
# Veredito: Não confirmado. Guarde para a janela e não repasse.
3

Use The Window during the week (step 2)

Write down the headline and don’t read it now. At the set time, list everything, read, and close.

python3 janela.py add "Agents left the isolated environment during a test" --campo seguranca
python3 janela.py listar        # at window time, grouped by field
python3 janela.py ler --todas    # close the window and move on
4

Run your tasks through TLC (step 3)

Answer y/n for Trust, Learn, and Contact. Without arguments, it switches to interactive mode.

python3 tlc.py "Chat support" --confianca n --aprende s --contato n
# Barreiras: 0/3  ->  exposição ALTA
5

One task a day with AI (step 4)

Log your small task for the day and track your streak.

python3 tarefa_dia.py feito "asked AI to explain a bill"
python3 tarefa_dia.py status   # Current streak: 1 day(s) ■
6

Choose your contribution (step 4)

Four ready-made options (deepfakes with parents and grandparents, rules with children, helping colleagues, creating a manual for your group), each with a 4-week plan.

python3 contribuicao.py listar
python3 contribuicao.py plano 1 --para "my mother" --salvar plano.md
# plano.md is saved in the ferramentas/ folder and opens in any text editor
How to create the manual

From topic to manual, videos, and tools

This is how INEMA turns a topic into three pieces that reinforce one another: a 5-minute text, a 3-minute video, and tools for everyday use. Details in COMO-CRIAR-O-MANUAL.md (in Portuguese).

🧠
1

Choose a topic and reference

One sentence: what fear or question does this resolve?

⚙️
2

Download and transcribe

Text with timestamps.

inemavox · yt-dlp · local Whisper
🤖
3

Extract the structure

Steps, metaphor, examples, memorable lines.

AI agent
🤖🧠
4

Check the facts

Confirmed or unconfirmed, with a source.

agent + web search
🧠🤖
5

Write the manual

One file per step + one printable page.

Markdown
🤖
6

Turn it into a tool

What gets repeated becomes a tested local script.

Python 3 · unittest
🤖
7

Redesign as images

Banners, diagrams, and cover.

Codex image_gen · flux2-klein (backup)
🤖🧠
8

Script and video

16:9 explainer and 9:16 cut with an avatar.

explicavideos · HeyGen studio
⚙️
9

Translate PT → EN/ES

Guide, README, and videos in 3 languages.

INEMA central translator
🤖
10

Guide / landing page

Single page, no build step.

GitHub Pages + Actions
⚙️🧠
11

Publish

Video, community, and catalog.

YouTube · Telegram · inema.club
🤖
12

Review with fresh eyes

An agent that has never seen the work gives it a score.

independent reviewer

🧠 session with a person · ⚙️ script · 🤖 AI agent

Public tools for creating your own

Anyone can create a similar manual with common tools:

ToolHow it helps with the manual
NotebookLMAdd transcripts and articles, then ask for a summary, questions, and a map of the steps.
ObsidianWrite the manual in Markdown, one file per step, with links between them.
NotionTeam version: one page per step, with a checklist and comments.
RSS readerThe Window: gather sources in one place and open them only at the set time (Feedly, Inoreader, NetNewsWire).
Google CalendarSchedule the weekly Window, with a reminder.
Habit appTrack one task a day and your streak (Loop Habit Tracker, Habitica, Streaks).
ChatGPT, Claude, GeminiHelp with the day’s task and review the manual in plain language.
Google Lens, TinEyeReverse image search: check whether a disturbing photo is old or fake.
Lupa, Aos Fatos, ComprovaCheck a story before sharing it.
CanvaTurn the single page into a poster to print.
GitHub PagesPublish the manual for free as a web page.
Companion

sobreviver-ia

This manual takes care of your mind. The sobreviver-ia kit takes care of your home and work: a 14-day kit, AI that runs without internet, account security, and a test of how AI affects your work.

Open sobreviver-ia