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We're here if something looks off.
Most questions are answered below. For anything else, reach us directly — a person reads every message.
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Frequently asked questions
How does connecting my inbox work?
You can either connect your Gmail account (a one-tap, read-only OAuth grant — Grace can read booking-related messages but never sends mail as you and never touches anything outside your inbox contents), or forward your studio confirmation emails to a unique Grace address without connecting an account at all. Forwarding works from any provider and any device, including if your workplace disables third-party account connections.
Why didn't Grace catch a booking, or why did an alert not fire?
A few common causes: the confirmation email hasn't arrived at the connected/forwarded address yet, the studio uses a sender format Grace doesn't recognize yet (these land in an in-app "needs your look" list so you can add them manually), your Gmail connection expired and needs reconnecting, or a push notification was delayed or filtered by your device. Every deadline alert always also goes to your email as a second channel — check there first if a push didn't arrive.
How do I cancel my Grace Pro subscription?
If you subscribed through the App Store, go to your iPhone's Settings → your name → Subscriptions → Grace, and cancel there. If you subscribed through the web-billing link, use the "Manage billing" link in Settings inside the app. See the Terms page for the full billing policy.
How do I delete my data?
In the app, go to Settings → Delete account, which removes your extracted booking data, any stored raw email, and your account. You can also request deletion by emailing privacy@trygrace.app from your account's email address. See the Privacy Policy for exactly what's deleted and any limited exceptions.
Does Grace work outside the US, or on Android?
Not yet — Grace v1 is US-only and iOS-only. There's no timeline to share for other regions or platforms yet.
Is my email content used to train an AI model?
No. Booking extraction that uses an LLM step runs per-user, only to pull out your own booking details, and is never used to train any model. See the Privacy Policy for the full explanation.
For details on data handling and billing terms, see: