I built a resume tool that refuses to invent achievements — here's why that was harder than it sounds

Most AI resume builders will happily make things up. Ask one to "improve" a bullet and it will hand you a percentage you never measured, a team size you never managed, a project outcome that never happened. It sounds great and it reads well. Then someone asks about it in an interview.

I kept seeing this on r/resumes — people getting caught out by their own resume. So I built Verum around one rule: it never invents facts. It rewrites, restructures, and tailors what you actually give it, and if a field is empty it stays empty.

That constraint turned out to be the hard part. An LLM's default behavior is to fill gaps plausibly. Saying "don't fabricate" in a system prompt is not enough — you have to design the whole flow so there's nothing to fabricate from. Structured input, explicit sourcing, and a generation step that can only work with what's already on the page.

The tradeoff is honest: output looks thinner if your input is thin. A tool that lies produces a more impressive first draft. Mine produces one you can defend.

It's live at verum.vvoix.com with a free tier — 3 generations a month, no card. I'd rather have feedback than signups right now, especially on whether the constraint actually holds up when you try to break it.

One thing I'm still unsure about: is "we don't lie for you" a real selling point, or does it just make the product sound worse than competitors who don't mention it?