Library
Lessons
Texts you can check, with sources and review dates, organized by the three pillars. Lessons tagged PT are not translated yet.
Liberty
Where to live 2
- Where to live: the five questionsChoosing a destination based on visa, tax residency, timezone, internet, and cost—before the scenery—using a simple matrix to compare three places.
- Cost of living and hard currencyBudgeting one month in each destination in local currency and in reais using the monthly exchange rate, and seeing how much time your hard currency income buys.
Visas and tax 2
- Visas for remote workersVisa types, the difference between remote and local work, and the visa worksheet you build for each destination using official sources.
- Tax residency while travelingWhen you remain a tax resident in Brazil, what changes after 12 months abroad, and questions for your accountant before spending months away.
Pace and routine 3
- What liberty is, in numbersGeographic and time freedom become three numbers you measure today: hourly income, hours per week, and days away per year.
- Pace: staying longerWhy two weeks is not living in a place: the pace of weeks per destination that sustains a work routine, backed by data and the author's real itinerary.
- One bag soonHow to live and work out of one bag.
Fewer hours and plan B 3
- Liberty with a deadlineTurning 'someday I will travel' into goals with dates and costs, and from there, into the monthly and hourly income you need.
- Plan B: one backpack, insurance, and redundancyThe minimal one-backpack work kit, insurance, and what to do when something goes wrong far from home.
- Time freedom: fewer hoursProtecting free hours, cutting what pays little for the time it takes, and setting a weekly hours goal.
Value
Your starting point 6
- How the market pays remote workersRate ranges with sources (the example is data engineering), what they actually measure, and how to calculate your starting point in dollars per hour.
- The four entry channelsDirect, partner consulting, staffing, and marketplace—what each pays, requires, and costs in liberty.
- Your starting pointTurn the X-Ray into a one-page document with your bottleneck, target channel, 90-day goal, and cut-off rules.
- What you cannot say in publicThe confidentiality rules that protect your current contract and how to still prove competence.
- A worked example (fictional persona)The first deliverables completed for a fictional professional (a data engineering example), so you can see the format before creating your own.
- 30-, 60-, and 90-day planThe recommended order of lessons and deliverables across 12 weeks, with a weekly hour limit.
Positioning and proof 3
- From task to resultWhy listing technologies does not sell and how to rewrite what you do in terms of problem, result, and client.
- The one-line statementA positioning statement that fits on LinkedIn, in a cold email, and on the first call.
- Anonymized case studyThe one-page text that tells the story of your best work through problem, decision, numbers, and learnings.
The chain and channels 3
- Anatomy of the chainWho signs with whom, who pays whom, and why you need to map your chain before accepting a contract.
- Where to sell: US, UK, or AustraliaA comparison of three markets by rate, timezone, and structural obstacle, and how it determines where to spend your effort.
- Referral playbookLook for people who have seen your work, not those with open roles. List, tiers, message, and follow-up.
Contract 1
- Anchor, floor, and targetHow to methodically define three numbers and steer the rate conversation without negotiating against yourself.
Money and tax 1
- PJ and Simples NacionalThe most common structure for professionals providing services abroad, Fator R, and questions for your accountant.
Mastery
Track: data engineering 3
- The real format of the data interviewThe typical stages, what each one measures, and how to distribute study time across them.
- The risk of rustHow AI dependency rusts data reasoning without you noticing, and a five-task test to measure it.
- Where AI agents fit into data engineeringReal use cases, what infrastructure each requires, and where NOT to use an agent.