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Listen "Why Most People FAIL at Learning AI and How You Can SUCCEED"
Episode Synopsis
Welcome to AI Marketing Experts, the podcast where smart marketers harness AI to work smarter, not harder.
In this episode, our co-hosts Laura Sutherly and Jennifer Crego tackle one of the most common questions they hear from clients, colleagues, and listeners: “How do I shorten the learning curve with AI?” Instead of hype or unrealistic promises, they break down the actual path to learning AI in a sane, sustainable way whether you’re brand-new, intermediate, or already experimenting.
You’ll hear why AI is a marathon (not a sprint), how to pick ONE thing to learn without getting pulled into tool overload, and why treating AI like a smart intern not a magic button helps small business owners get results faster. They also unpack context windows, ChatGPT honesty checks (“Can you actually do that?”), when to start a fresh chat, and why asking AI what it remembers can save hours.
This episode brings a blend of mindset, practical steps, and relatable stories (including ChatGPT “fatigue,” donut-breath jokes, and long road-trip chat sessions) to help beginners feel grounded, not intimidated.
What You’ll Learn in This Episode:
• How to test a custom GPT’s claims (“Can you actually do that?”)
• The 10-minute sprint to stay focused (and stop rabbit holes)
• When to start a fresh chat to beat context fatigue
• The 3-question filter: Will it save time? Will I use it? Did it clarify?
• Boundaries that prevent scope creep + smart “memory/temporary chat” use
• How to decide if paid “AI” add-ons are worth it (ask your peers first)
Chapters
00:00 – Cold open: why the learning curve feels long (and why that’s okay).
00:24 – Start with one problem; pick the right “intern” (custom GPT).
01:27 – “Too good to be true?” Test the claim before you trust it.
04:00 – Use your expertise to judge outputs; don’t force off-specialty tasks.
07:34 – The 10-minute sprint: is AI helping…or just distracting you?
08:20 – Fresh chats vs. long threads: beat context drift & fatigue.
11:01 – The “donut breath” story: recognizing when ChatGPT is fading.
14:04 – Give yourself grace; this is a marathon, not a sprint.
15:13 – The 3-question framework for shiny new tools.
20:43 – Should you pay for “AI” add-ons? How we evaluate them.
25:27 – Pro move: “How would you have done this better?” prompt.
26:19 – Wrap-up & subscribe.
Resources & Tools Mentioned
ChatGPT • Custom GPTs • Context windows • AI intern workflow analogy • Beginner AI prompts • Daily 10-minute AI practice • Model honesty checks (“Can you really do that?”)
Follow & Subscribe
🎧 Podcast: https://aimarketingexperts.podbean.com/
📺 YouTube: /@aimarketingexperts
Hashtags:
#AIMarketing #ChatGPT5 #Claude #GoogleTagManager #Gemini #Perplexity #Grok #AIAgents #EOS #SmallBusiness #DigitalMarketing #AIsearch #MarketingAI #ToolStack #FirstMoverAdvantage #ai #VoiceAI #SiriUpdate #AppleAI #AIsearch #ChatGPT #VoiceSearch #AItools #AIAgents #MarketingAI #DigitalMarketing #StructuredData #ReputationMarketing #TechTrends #AIEvolution #DiversifyOrDie #AIAutomation #GPT4 #LocalSEO
In this episode, our co-hosts Laura Sutherly and Jennifer Crego tackle one of the most common questions they hear from clients, colleagues, and listeners: “How do I shorten the learning curve with AI?” Instead of hype or unrealistic promises, they break down the actual path to learning AI in a sane, sustainable way whether you’re brand-new, intermediate, or already experimenting.
You’ll hear why AI is a marathon (not a sprint), how to pick ONE thing to learn without getting pulled into tool overload, and why treating AI like a smart intern not a magic button helps small business owners get results faster. They also unpack context windows, ChatGPT honesty checks (“Can you actually do that?”), when to start a fresh chat, and why asking AI what it remembers can save hours.
This episode brings a blend of mindset, practical steps, and relatable stories (including ChatGPT “fatigue,” donut-breath jokes, and long road-trip chat sessions) to help beginners feel grounded, not intimidated.
What You’ll Learn in This Episode:
• How to test a custom GPT’s claims (“Can you actually do that?”)
• The 10-minute sprint to stay focused (and stop rabbit holes)
• When to start a fresh chat to beat context fatigue
• The 3-question filter: Will it save time? Will I use it? Did it clarify?
• Boundaries that prevent scope creep + smart “memory/temporary chat” use
• How to decide if paid “AI” add-ons are worth it (ask your peers first)
Chapters
00:00 – Cold open: why the learning curve feels long (and why that’s okay).
00:24 – Start with one problem; pick the right “intern” (custom GPT).
01:27 – “Too good to be true?” Test the claim before you trust it.
04:00 – Use your expertise to judge outputs; don’t force off-specialty tasks.
07:34 – The 10-minute sprint: is AI helping…or just distracting you?
08:20 – Fresh chats vs. long threads: beat context drift & fatigue.
11:01 – The “donut breath” story: recognizing when ChatGPT is fading.
14:04 – Give yourself grace; this is a marathon, not a sprint.
15:13 – The 3-question framework for shiny new tools.
20:43 – Should you pay for “AI” add-ons? How we evaluate them.
25:27 – Pro move: “How would you have done this better?” prompt.
26:19 – Wrap-up & subscribe.
Resources & Tools Mentioned
ChatGPT • Custom GPTs • Context windows • AI intern workflow analogy • Beginner AI prompts • Daily 10-minute AI practice • Model honesty checks (“Can you really do that?”)
Follow & Subscribe
🎧 Podcast: https://aimarketingexperts.podbean.com/
📺 YouTube: /@aimarketingexperts
Hashtags:
#AIMarketing #ChatGPT5 #Claude #GoogleTagManager #Gemini #Perplexity #Grok #AIAgents #EOS #SmallBusiness #DigitalMarketing #AIsearch #MarketingAI #ToolStack #FirstMoverAdvantage #ai #VoiceAI #SiriUpdate #AppleAI #AIsearch #ChatGPT #VoiceSearch #AItools #AIAgents #MarketingAI #DigitalMarketing #StructuredData #ReputationMarketing #TechTrends #AIEvolution #DiversifyOrDie #AIAutomation #GPT4 #LocalSEO
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