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AutoEmailAI Used AI
AutoEmailAI is an intelligent email assistant that automates your responses by learning from past conversations, uploaded company data, and context. It’s fully customizable – design templates with an easy drag-and-drop editor, choose from ready-made layouts, match your brand style, give your AI a unique identity, and unlock countless ways to streamline your email workflow.
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Timeline
Launched the ‘Get Early Access’ page for beta users. All requests are managed by a Discord bot, and I can see everything happening – pure cinema!
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I added new features to the email template customization, including drag-and-drop, HTML/CSS email uploads, and ready-to-use finished templates. There’s also the option to use plain text. On top of that, I improved the design to make it cleaner and more engaging.
In the last 4 days, I mostly focused on smashing some stubborn bugs, added new features like redesigned email templates, added better debugging, recreated the landing page and FINALLY fixed a huge bug that nerved me over 4 days!
Big progress on AutoEmailAI the last few days!🚀 Focused heavily on UX: manual email training got smoother with renumbering, delete API + confirmation, and better navigation. Added filter pills (e.g. only replied emails), time filters & auto-refresh. UI feels sharper with skeleton loading, preview modal, and HTML/Text toggle. Gmail OAuth and error handling are now more stable. The app finally feels closer to a real product instead of just a prototype. Excited to push the first email upload & AI response tests next.
- Added email templates for automated customer responses
- Improved security mechanisms for better data protection
- Refined UI and overall design
- Fixed 15+ bugs for increased stability
- Enhanced Gmail integration for more reliable connections
- Improved debugging tools for faster troubleshooting
I implemented a feature that allows old customer emails to be manually entered or automatically fetched by the system. The AI then extracts information, writing style, and patterns from these emails, stores them in a vector database, and uses this knowledge to respond to future inquiries more accurately and naturally.
