Editorial Policy

Enhance AI Partners publishes practical articles about revenue systems, AI, automation, finance, and lessons from founders and operators on the Enhance AI Partners podcast.

How we create articles

Commercial articles begin with a specific business question and are developed around operating experience, primary sources, and clearly stated limitations. Podcast-derived articles begin with a recorded conversation and identify the guest, organization, and original episode.

Research, outlining, transcription review, and editorial drafting may be assisted by AI tools. Yohan Mejia reviews articles for relevance, factual support, source quality, interpretation, and consistency with Enhance AI Partners’ actual work before publication. AI assistance is never treated as a source.

Sources and attribution

We prefer original episodes, official documentation, regulators, standards bodies, research institutions, and first-party company materials. Links are included where they help readers verify a claim or explore the subject in more depth. Podcast insights are attributed to the relevant guest and episode; paraphrases are not presented as direct quotations.

High-stakes topics

Articles that discuss legal, financial, insurance, credit, investment, tax, or compliance topics are educational. They do not replace advice from a qualified professional who understands the reader’s facts and jurisdiction.

Updates and corrections

We add an updated date when a material change is made. If you identify an error or missing context, contact team@enhanceaipartners.com. We review correction requests and make supported changes transparently.