The Past Needs a Redesign
Since the digitization of mail, user interfaces have become more modern and easier to navigate. However, the same central issues continue to plague the emailing system. Far too many times I have seen accidental emails being sent and old emails piling up over time as it becomes too daunting for one person to sort daily. The current systems in place for the organization of mail have failed to account for the formidable task that relies on human input.
Addressing The Issue
Utilizing AI is becoming more of a common practice as we find new ways for it to assist us. I intend to use AI's ability to learn and adapt to address this issue. By integrating AI as a second pair of eyes within the mailing process, I can streamline tasks that would be overlooked.
What Does E-Mail Look Like Now?
In my review of major email platforms such as Gmail, Apple Mail, and Yahoo Mail, I found that although they share similarities in appearance and functionality, there is a common limitation across them all. The fact that every action taken has to be done manually by the user, which leaves room for AI improvements
How I Solved a Cluster Crisis
To bring these ideas to reality, I designed a solution that integrates AI into a familiar interface. The AI will work as a second pair of eyes while composing emails to avoid common mistakes and learn from the user's choices. Another aspect of the AI is to generate tags based on the content of emails for effortless organization along with bulk tagging with the choice to alter emails based on AI suggestions.
How Will It Work?
My AI model uses a user-centered design to actively learn directly from user feedback which allows it to continuously learn and improve. By taking on tedious tasks such as the mass tagging of emails, the AI relieves the user of extra work. This system is designed to be easily integrated into any email platform without the need for heavy alterations.
Visualizing The Solution
Further Possibilities
The potential applications for an AI management system are endless, but the biggest possibility would be integrating this into a real-time messaging app such as Slack or Microsoft Teams where it could automatically tag threads based on their content. If you have ever tried to search for an old conversation in a busy Slack channel, this would simplify the process, making the user have a much easier time while navigating.
