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Mirror Help & Support

Everything you need to master your financial digital twin, configure simulations, and get in touch with our team.

Direct Developer & Product Inquiries

Have questions about your digital twin, feature requests, or technical issues? Contact Robert Mburia at Future Legends AI.

✉️ robert@futurelegendsai.com

Frequently Asked Questions

What is Mirror: Financial Digital Twin?

Mirror is an intelligent companion that simulates your personal finances in real time. It learns your spending velocity, highlights cognitive and emotional spending impulses, projects long-term timelines across alternate life scenarios, and curates localized opportunities.

Does Mirror connect directly to my live bank accounts?

Mirror supports flexible integration: you can track transactions completely on-device, input goals manually, scan paper receipts using Google Gemini Vision, or link mock/open banking ledgers. You can use Mirror 100% privately in Guest mode without connecting sensitive banking credentials.

How does receipt scanning work?

Tap the camera scanner icon inside Mirror to capture an image of any physical receipt. Google Gemini multimodal vision instantly parses line items, tax, total cost, and category, and logs them directly to your spending ledger.

Are the reality timeline simulations guaranteed financial returns?

No. All reality timelines and scenario models (e.g. Aggressive Builder, Sabbatical, Career Pivot) are mathematical simulations designed for educational, psychological, and scenario-planning purposes. Future Legends AI does not provide licensed financial advice.

How do I delete my data or reset my companion?

You can instantly wipe all local data in the app under Settings > Preferences & Privacy > Wipe All Local Data. To erase cloud records, visit our Data Deletion portal or email robert@futurelegendsai.com.

Is my financial data sold to advertisers?

Never. Future Legends AI maintains a strict zero-sale, zero-brokerage privacy architecture. Your data is never leased, sold, or used to train public generative AI foundation models.

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