O TYM ODCINKU
An AI agent on an unprepared semantic model gives answers that are confident, clear and wrong. The fix starts with the model, not the prompt.
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Marcin Kubica sits down with Power BI World Championship finalist Michał Jezik to break down how to prepare semantic models for AI agents, from naming to verified answers.
See why duplicate fields and technical column names confuse an agent, how the AI data schema cuts its input context, why descriptions should stay within 200 characters, and how to spend one week making a model agent-ready.
This podcast is provided for general information purposes only and does not constitute legal, tax, financial or other professional advice. Nothing herein should be relied upon as a substitute for advice from a qualified professional. Views expressed are the speakers' own. Product features, availability and licensing details may change over time, and any client results shown are illustrative only and are not a guarantee or promise of similar outcomes. © Clouds on Mars. All rights reserved. This content is the property of Clouds on Mars and may not be reproduced or distributed without permission.
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