Won't recruiters know I used AI? +
The engine is tuned specifically to not produce AI-detector signatures. It writes in your voice (trained on your existing materials), uses sentence variation patterns that don't trigger detection, and references real specifics from the JD and company. We test our outputs against the major AI-detection tools weekly. That said — these are your applications, and the engine is the assistant. Most candidates use it to draft, then make small final edits. That combination is undetectable.
Is this just an autoclicker? +
No. Autoclickers spray the same generic resume across hundreds of jobs and get zero callbacks. Olympia Apply thinks about each role: matches it to your real profile, generates a tailored resume + cover letter, decides whether it's worth submitting, and learns from results. It does in 5 seconds what a good candidate does in 90 minutes — but it does it 50 times a week.
What about ATS scanners? Will my resume get through? +
Yes — that's exactly what Variant A is tuned for. The ATS-tuned variant front-loads the JD's exact keywords, uses the standard section headings that scanners parse correctly, avoids tables/columns/graphics that break parsing, and submits as both PDF and plain-text where possible. Most candidates lose 60–70% of applications to ATS rejection before a human sees them. We invert that ratio.
Is my data safe? Who sees my resume? +
Your data is yours. It's not used to train any third-party model. The only entities that see your resume are (a) the employers you submit to, and (b) optionally — opt-in — partner staffing firms on Olympia Recruit who can offer you roles they're working on. You can turn off the partner-firm visibility entirely if you want pure DIY mode.
Can I use this if I'm not in tech? +
Yes. The engine works across knowledge-worker roles: tech, marketing, finance, design, ops, sales, HR, and most professional services. It's not currently tuned for hourly, trade, or healthcare-specific roles (those have different application norms). If you're not sure, sign up — you can cancel before the trial ends.
How fast will I see results? +
The engine sends its first batch of applications within 24 hours of setup. Most users see their first 1–3 callbacks within 7–10 days. The learning engine kicks in after ~20 applications, at which point your callback rate typically improves week-over-week. We track this transparently in your dashboard.