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AI Still Needs the Human Touch, with Nathalie Doremieux
Meet Nathalie Doremieux, founder of The Membership Lab and co-founder of Podcast LeadFlow, who joins AIBiz to cut through the noise around AI.
Listeners will hear why chasing new AI tools is the wrong strategy, and why results depend on a clear problem and human checks.
About the Guest:
Nathalie Doremieux is founder of The Membership Lab and co-founder of Podcast LeadFlow. With 20 years in business, she helps entrepreneurs build memberships and use AI to generate leads without losing authenticity.
Key Takeaways:
- Chasing new AI tools out of fear of falling behind often costs more time than it saves.
- Learning to prompt isn't the skill that matters; knowing the problem you're solving is.
- AI content reads well but doesn't sound like you, a signal to rewrite it in your voice.
- AI tends to be a "people pleaser," giving flattering feedback even when asked to be critical, so doubt its praise.
- Businesses that succeed with AI tend to add it to one documented process at a time, not everything at once.
- You don't need AI figured out before starting; picking one repeatable task to improve is enough to begin.
Connect With the Guest:
- Website: themembershiplab.com
- LinkedIn: linkedin.com/in/nathaliedoremieux
- Instagram: instagram.com/natdoremieux
Episode Chapters:
- [00:00] Welcome to AIBiz & Meet Nathalie Doremieux (approx.)
- [03:00] The Biggest Misconception Keeping Leaders From Using AI Well (approx.)
- [08:00] Why Prompting Isn't the Real Skill (approx.)
- [13:00] Why AI-Written Content Doesn't Sound Like You (approx.)
- [18:00] AI as a "People Pleaser": Why Its Praise Isn't Reliable (approx.)
- [24:00] How Successful Companies Actually Integrate AI (approx.)
- [29:00] Getting Started Without Having It All Figured Out & Where to Find Nathalie (approx.)
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