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AI interview coaches make your answers sound better by making things up, and that inflated number is the follow-up question that sinks you. In our eval, a naive "make it impressive" prompt put unsupported claims in 18 of 20 rewrites; even "use only these facts" still did in 7 of 20. Grounded is an interview coach that never invents your experience. Muse Spark extracts facts from your résumé, each with a verbatim source quote, and nothing counts until you confirm it. Paste a job description and it predicts 8 likely questions, matches each to your best story, and names your gaps. Answer by voice or typing and you get scores, a claim-by-claim breakdown, and a warning for any number that isn't in your record. Then a skeptical follow-up drill rewards "my record doesn't cover that" over filling the gap, and you leave with a one-page prep brief. Every sentence of the rewrite passes two checks: local code verifies it cites a confirmed fact, quotes it word for word, and uses only that fact's numbers; then a narrow Muse Spark entailment pass removes anything that says more than its fact. With both checks, unsupported rewrites dropped to 0 of 20. Our first run, with the verifier alone, didn't beat the instructed prompt, and both runs are in the repo. All data is fictional.

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tianqiy

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