An AI coach trained on what US hiring managers actually evaluate.

Practicing with a general chatbot has a ceiling: it evaluates whether your answer makes sense, not whether it works in a US behavioral interview. It cannot hear the 'we' that hides your contribution, the missing metric that makes your impact invisible, or the three minutes of context an American interviewer experiences as rambling. You finish practice feeling prepared, then lose the callback — and never learn why.

The patterns that cost Indian engineers callbacks are specific, recurring, and detectable: team credit instead of individual ownership, qualitative results instead of quantified impact, thorough context instead of bottom-line-up-front structure, formal deference instead of direct professional register. An effective AI coach has to be trained on these specific patterns — and on what the strong version of each answer looks like — not on generic interview advice.

The weak version has passive voice ('it was decided'), filler ('basically'), and a qualitative result ('significantly improved'). The strong version has one owner, one diagnosis, one decision, and one number.

Arpan gives you the feedback that solo practice can't. The free Diagnostic scores your answers across Ownership Language, Quantified Impact, STAR Structure, Conciseness, Engagement, and Professional Tone — the exact dimensions US hiring managers evaluate — and delivers word-for-word rewrites of every answer so you can see the gap clearly. Pro turns that into a practice loop: every answer rewritten across 25 voice interviews and 5 on camera over 90 days, pattern detection that surfaces which habits are costing you points, and your Cultural Readiness Score™ after every session, so you can see where the score moves.