Chances are you want total control of the system. And the best part is that Spamato can learn over time. But don’t be surprised when some important mail ends up being labelled as junk and gets pushed to the Spamato folder! So make sure, while the software learns about the spam you receive, you keep a tag on the Spamato folder that is appended to the list of folders on the left side, in Thunderbird. To tweak Spamato, open your favourite Web browser and type in http://localhost:8574/ . Alternatively, you can choose Tools > Spamato > Configure Stamato4Thunderbird. Here, you can view all spam-related statistics, and define how it should learn from subsequent usage. Artificial Intelligence at last! On the configuration screen, check the boxes meant for filters that are to be used. (e.g. Bayesianato, Razor Filter). There are six such filters. Clicking the Filter History tab will allow you to manually report mails received as Spam. If you “revoke” the legitimate mails and report the Spam, it wouldn’t be long before the system gets trained in recognising legitimate mails. You can save your work by hitting Save. The Spamato Decision Maker makes the decision about future e-mails. For example, the “Average Decision Maker” averages all the filter results, and if the result is greater or equal to 0.5, then the mail is declared Spam, else Ham. The Decision Maker tab will give you an overview of the decision makers in use. New plugins and other learning mechanisms can also be installed by selecting the Plugins tab. As a final word, if one doesn’t want to blindly rely on the Web-based filtering mechanisms but prefers the features and convenience of the e-mail clients offering customised Spam protection, this one is a must-try. For starters, Gmail is one service that allows free POP and SMTP access that needs to be enabled from the Web site. It wouldn’t hurt to add your own smarter protection at home. If you’re interested, you can even contribute by developing your own filter.