Built from the candidate side of the screen.

Peter-Paul Anderson

I’m an internal audit and business professional with more than 10 years of professional experience, including five years in internal audit. That background has trained me to think in evidence, controls, risk, documentation, and defensible reasoning—skills that translate naturally into structured interview preparation.

I earned my Bachelor of Arts in Business Administration from the University of Maine at Presque Isle, graduating Summa Cum Laude with a 3.928 GPA. My concentrations were Accounting, Management & Leadership, and Project Management & Information Systems.

Traditional interview prep leaves a gap.

While preparing for AI-led interviews myself, I realized that reading sample answers and silently thinking through questions does not reproduce the actual challenge. Automated interviews can require you to speak your reasoning without conversational cues, recover from pauses, stay concise, and explain technical ideas clearly under timing pressure.

The goal is simple: help candidates practice how they think and communicate—not memorize scripts.

AI Interview Gym is designed around that gap: question practice, reasoning routes, spoken rehearsal, realistic mocks, résumé-aware preparation, and evidence from your own attempts.

Practice should create evidence.

The product is built around observable preparation signals rather than pretending to know an employer’s private scoring model. The Gym can count what you practiced, whether you spoke an answer, whether route concepts appeared in a browser-generated transcript, how your pace changed, and which résumé claims you rehearsed.

Those signals are useful for deciding what to practice next. They are not a hiring score, employment probability, or guarantee of selection.

What we will—and will not—claim.