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