About this episode

The episode discusses improving AI output quality through the use of personas and feedback loops.

Want to improve AI output quality so your content, reports, and deliverables don't read like everyone else's? I interview Austin Marchese to discover how to build AI personas and feedback loops that improve the quality of your deliverables before anyone else sees them. Setting Up the Feedback System With Projects, Skills, and a Knowledge Base Building Your AI Customer Persona From Real Data Creating an Internal AI Focus Group With Multiple AI Customer Personas Testing the Feedback Loop Until It Matches Reality Guest : Austin Marchese | Show Notes : socialmediaexaminer.com/a121 Review our show on Apple Podcasts See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .

People in this episode

Host: Michael Stelzner

Guest: Austin Marchese

Topics covered

• AI output quality
• AI personas
• feedback loops
• content improvement
• deliverables

Keywords

• AI
• quality improvement
• feedback system
• customer persona
• internal focus group

Mentioned in this episode

Organizations: Social Media Examiner

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