Episode Details

AI Primer: Seven Confidence-Building Tips

In this episode, host Cary Weston shares seven practical ways to build confidence with AI and start getting real value from tools like ChatGPT, Claude, and Gemini. Instead of treating AI as complicated technology, Cary encourages listeners to think of it as an "amazing intern" that can help execute clearly defined tasks. He walks through better prompting, conversational back-and-forth, understanding your audience, personalizing your AI tools, and finding one meaningful task you can improve today.

3 Key Takeaways

• Focus on execution, not just creation. AI can be especially useful when you give it a clear task to complete, rather than asking it to create something from scratch without much direction.

• Talk to AI like you're delegating to a capable intern. Explain what you're doing, why it matters, what a successful result looks like, and ask whether it has any questions.

• Start with one real task. Choose something repetitive, time-consuming, or frustrating and ask your AI tool how it could help. One useful result can open the door to many more ideas.

EPISODES REFERENCED

• Episode 111: AI creation vs. AI execution
• Episode 10: Mastering ChatGPT prompting
• Episode 85: The four-part conversational framework
• Episode 60: How Cary uses empathy and objectivity with AI
• Episode 109: How to personalize ChatGPT and Claude
• Episode 98: Find one meaningful task AI can help with

Cary offers customized one-on-one ChatGPT training in 60 minute sessions. Find out more information on the sessions, answers to frequent questions, and how to register at www.ChatGPTExperiment.com

+++++++++

CONNECT WITH CARY

ChatGPT Podcast Website: www.amazingintern.ai
Marketing Podcast: www.PracticalMarketingShow.com
Cary's Agency Website: www.CMWeston.com
LinkedIn: https://www.linkedin.com/in/caryweston

LINKEDIN NEWSLETTER
The Chat GPT Experiment is also a LinkedIn Newsletter and you can find it here:
https://www.linkedin.com/newsletters/the-chat-gpt-experiment-7110348839919702016/

MUSIC CREDITS
The instrumental music used in this podcast is called "Curious" by Podington Bear".