Simple, transparent pricing

There are hundreds of AI tools out there. You've probably tried a few. But here's the thing — most of them just shifted the work. Instead of formatting a resume yourself, now you're copy-pasting into prompts, tweaking AI outputs, reformatting, and doing it all over again for the next job. That's not saving time. That's a different kind of busy work.

Your energy should go toward building real skills and real experience — not wasting hours on resume formatting. That kind of busy work? Let the AI handle it. But what comes out has to be professional quality.

Here's what I believe: your resume's format doesn't get you the interview — what you actually did gets you the interview. Guido van Rossum got hired with a resume that basically said “I wrote Python.” Evidence chains beat formatting, every single time.

This isn't a template editor. It's not a mass-apply bot. It's an engine that reads your real background and translates your actual capability into language that hiring managers understand — using HR decision-making logic, not keyword stuffing.

I research and update the matching engine personally, every day. This isn't a static wrapper around an AI model — it's a system that gets sharper over time.

Every generation costs real money — LLM compute, web scraping, orchestration. This is entirely self-funded. No investors, no runway to burn. That's why there's no free tier: we need every dollar to keep the engine running and improving.

When you tell us whether you submitted a resume and whether you got an interview, that data flows back into the engine. Over time, we learn which strategies work for which industries and roles. The more people use it, the smarter it gets for everyone.

When we have enough users to bring costs down, we'll introduce a more affordable entry plan. But I'd rather be honest about where we are today than make promises I can't keep.