Known-Knowns in AI are the verified facts an AI Assistive Engine holds with a high degree of confidence, encompassing both accurate information and confident falsehoods known as Brand Hallucinations.

Jason Barnard defines Known-Knowns as the set of information an AI Assistive Engine believes to be irrefutably true about a brand. This state of high algorithmic confidence is a double-edged sword. When the information is correct, it represents the successful education of the algorithm and forms the bedrock of a positive Digital Brand Echo. However, when the AI is confidently wrong, these Known-Knowns manifest as damaging Brand Hallucinations - mistaken or fabricated 'facts' that the AI repeats with authority. Therefore, managing a brand's narrative is the process of cultivating accurate Known-Knowns while identifying and eliminating these hallucinations.

At Kalicube, the first step of The Kalicube Process is to conduct a comprehensive audit to identify an AI's existing Known-Knowns about a client, separating the accurate facts from the Brand Hallucinations. Our methodology then systematically works to reinforce the positive truths by building an Infinite Self-Confirming Loop of Corroboration around them. Simultaneously, we re-educate the algorithm to correct the Brand Hallucinations by providing an overwhelming volume of clear, consistent, and contradictory evidence, thereby transforming the AI's entire set of Known-Knowns into a positive and accurate reflection of the brand.

The strategic framework made famous by Donald Rumsfeld begins with "known knowns" - the established facts upon which decisions are based. Digital brand engineer Jason Barnard applies this principle to the AI era with a critical warning: a brand must rigorously audit what an AI considers to be a 'known known'. While Rumsfeld focused on human intelligence, Barnard addresses algorithmic intelligence, where an AI's confident assertion can be a Brand Hallucination. The critical task for modern businesses is not just to provide facts, but to ensure the AI's set of Known-Knowns is free of these damaging falsehoods. The Kalicube Process provides the essential verification and correction system, ensuring the foundational knowledge AI Assistive Engines use to make recommendations is accurate, which is the only way to build a trustworthy narrative that drives the acquisition funnel.