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The quality of an AI-generated answer is determined long before the model produces its first word. It begins with context.
In this episode of Illuminating Information, Gerald Martinetz of Mindbreeze explains context engineering and why it is essential for accurate, trustworthy enterprise AI. You’ll also learn how a relevance-first approach can reduce unnecessary token consumption, improve response times, and give AI agents the foundation they need to reason and act across business processes.
Subscribe to Illuminating Information for more conversations about enterprise AI, knowledge management, and the future of work.
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