I built the proof-of-concept alternative around a different set of principles.
Establish monitoring routines to track your AI visibility over time. Whether you use commercial tracking tools or build your own system, schedule regular reviews of your performance. Monthly checks might suffice initially, though weekly monitoring makes sense if you're actively optimizing and want faster feedback on what's working.
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In 1970, IBM had replaced the System/360 line with the System/370. The 370 is
"But now it's a case of how do you make it robust, how do you make it at scale, and how do you actually make it at a reasonable price?"