What AI Transparency Means When Your Tool Writes Your CV

There’s an uncomfortable question sitting underneath every AI-assisted job application: is this still yours?

It’s a fair question. And the way you answer it — not just in theory, but in how you design and use the tools — shapes whether AI in hiring is helpful or corrosive.

The problem with the current framing

The debate about AI in job applications tends to collapse into two positions: “AI is cheating” or “everyone’s doing it, so it’s fine.” Neither is particularly useful.

The first treats the CV as a document of authentic self-expression, when it’s really a marketing document. No one is “cheating” by asking a friend to review their cover letter, or by using a spell-checker, or by reading a book about how to write a CV.

The second treats the outputs as equivalent to inputs. If an AI generates a claim about impact or experience that isn’t accurate, that’s not a framing problem — it’s a false statement.

Where the real line is

The line isn’t between “written by human” and “written by AI.” It’s between accurate and inaccurate, and between informed and uninformed.

An application is yours if it accurately represents your experience and your thinking — regardless of what tool helped you express it. The AI is a writing assistant, not a ghostwriter who invents your career history.

An application isn’t yours if it asserts skills you don’t have, projects you didn’t work on, or impact you can’t defend in an interview. That’s a problem with the output, not the process.

How we think about this at Kataru

Kataru is designed to help you articulate what’s already true about your career — not to manufacture a version of you that doesn’t exist.

The input is always yours: your roles, your projects, your impact, the language you use to describe your work. Kataru helps you structure and tailor that input for a specific role — the same thing a good careers coach would do.

We’re also transparent with users about what the AI is doing and why. If Kataru rewrites a bullet point, you can see the original and the suggestion side-by-side. You decide what stays.

That’s not a perfect solution to a complex problem. But it’s the right starting point.

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These are our opinions, not industry consensus. We’d welcome pushback — reach out via LinkedIn if you disagree.