Ella for Spam is the first Smart Inbox Assistant which learns by example how to personally organize and automate the processing of email messages from within the Outlook Inbox. By using a Wizard and integrated training toolbar, users simply provide Ella for Spam a few examples of messages to keep in their Inbox, and messages to move to Newsletters and Spam review folders. Ella for Spam quickly learns the user-defined profiles and automatically places all new messages in the appropriate folders. The user can easily define new personal classifications for processing actions, converting these two classes into, for example: Engineering Matters and Personal Correspondence. Ella for Spam's adaptive learning engine is built on a high-performance associative memory technology that observes user examples, then creates, updates, and maintains a message classification model unique to each individual. Over 100 attributes of the user's example messages are analyzed and learned by Ella for Spam in order to create the profile for the user-defined message categories. As the user's class definitions or preferences change, It adapts in response to user actions as new messages are moved, continuously refining the model of user's email sorting behaviors.