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Why AI Gets It Wrong: Build the Context Systems that Make AI Work

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Why AI Gets It Wrong: Build the Context Systems that Make AI Work

By: Valeriana Colon
Narrated by: Valeriana Colón
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Summary
 AI does not get things wrong alone.When AI gives a bad answer, we usually blame the model, the prompt, or the user. But in real organizations, the problem often starts somewhere else: an outdated policy, a missing approval, a restricted file, a stale workflow, or knowledge trapped in someone’s head.In Why AI Gets It Wrong, Dr. Valeriana Colón shows why better prompts are not enough. AI answers are shaped by the systems around them: people, data, documents, permissions, tools, memory, timing, and governance.This practical business guide helps leaders, consultants, governance teams, and AI users ask a better question: What context produced that answer?Through clear workplace examples, readers learn how to spot common AI failure patterns, build fit-for-task context, add checkpoints before AI acts, and design governance that supports real work. This is not a book about distrusting AI. It is a book about building the context systems that make AI worth trusting.©2026 BONUM LLC (P)2026 BONUM LLC
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