Guides to writing a CV and applying
Writing your resume is the part of job hunting with the most advice and the least judgement behind it. You will not find templates here: you will find what actually happens when someone, or something, reads what you sent, and which decisions change the outcome.
It helps to start with the thing almost nobody says: your resume is not read by a person first, it is read by a program that pulls the text out and sorts it into fields. Understanding how it does that explains at a stroke why a handsome two-column layout can turn your experience into a jumble, why a photo takes up room it has not earned, and why the same content performs differently depending on how it is laid out.
Then there is what has changed in the last two years. Writing a resume with AI has become normal, and with it came a risk that did not exist before: a certification you never earned, or a percentage nobody measured, quietly turning up in yours. That does not get paid for at the screening stage, it gets paid for in the interview, and it is expensive, because it stops being a question of fit and becomes one of honesty.
And then there is everything around the resume that gets done in a hurry: the open questions on the application form, which is where most applications get left half-finished, and the salary expectations box, which you do not answer the same way in writing as out loud. Two short moments that decide a lot.
Everything here can be done by hand, and it is worth doing once just to understand it. If you would rather see it working, the demo walks you through the whole of BeSuix with no signup and no email: you can watch one job ad turn into a different resume, in the words that company uses and without a single invented line. And if what you want is to do it with your own job ads and your own experience, that is where the product comes in.
The ATS resume format, and what happens when a machine reads yours
One column, real text, ordinary headings. What actually happens inside an ATS, why two columns break a resume, and what to check before you send it.
A CV written by AI, and how to find what it made up
The signals that give away an AI-written CV, what a generic tool invents and why, and how to audit yours line by line before you send it.
The questions on the application form, where most people give up
The four kinds of open question a form asks, how a 20-word answer differs from a 200-word one, and what to do when there is a character limit.
Salary expectations: the number, the units, and where it does not go
Gross or net, annual or monthly, what to put in the box before you know anything about the job, and how to work out your own figure. Where it does not go.