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Gmail copilot for efficient email management & privacy.
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What is DraftLab?

DraftLab AI is a tool designed to help users write better emails faster using AI technology. It integrates directly into Gmail as a Chrome extension, allowing users to stay within their existing email client while benefiting from AI-assisted email generation. Key features include a pay-as-you-go billing structure, privacy protection, and the option for personalized AI responses tailored to individual writing styles. Future enhancements will include autopilot functionality for automatic response generation and triage capabilities for organizing and categorizing emails based on content.



⚡Top 5 DraftLab AI Features:

  1. Gmail-Compatibility: DraftLab’s Chrome extension integrates seamlessly into Gmail, eliminating the need to switch email clients.
  2. Pay-as-You-Go Billing: Users are charged only when they utilize DraftLab’s AI to generate an email, ensuring cost-effective usage.
  3. Privacy-First Approach: DraftLab respects user privacy and does not store emails unless the user opts for a personalized model.
  4. Personalization: Coming soon, DraftLab’s AI can be customized to mimic the user’s writing style, maintaining authenticity while saving time.
  5. Autopilot: A future feature allows users to teach DraftLab’s AI to automatically respond to recurring emails, avoiding the need for canned responses.



⚡Top 5 DraftLab AI Use Cases:

  1. Email Management: DraftLab helps users reach Inbox Zero faster by generating high-quality email replies.
  2. Content Generation: DraftLab’s AI can assist in creating engaging and effective content for various platforms like blogs, landing pages, and social media posts.
  3. Time Efficiency: By automating repetitive tasks such as responding to common emails, DraftLab saves users time and energy.
  4. Collaboration: DraftLab can be integrated with team collaboration tools, allowing multiple users to contribute to drafting and editing emails together.
  5. Customizable Learning: As DraftLab learns from each interaction, it becomes increasingly adept at understanding the user’s preferences and tailoring its responses accordingly.

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