Wondering what “vibe coding” really is and why everyone keeps talking about it? This intro-level class walks you through the history, the mindset, and the must-know tools so that anyone, coder or not, can start shipping software with AI.

What you’ll learn 💡 Origins & ethos – how an Andrej Karpathy thread sparked a movement ⚔️ Claude-vs-ChatGPT showdown – building a game with a single prompt 🛠️ Tool landscape decoded – IDEs, extensions, CLI helpers & agentic platforms 📈 What it means for devs and non-devs – the new minimum competency 🚀 Next steps – where to level-up once you’ve passed Vibe Coding 101

🗂️ Resources & Links → https://nryet.ai/links

👉 Take Action Copy the Breakout prompt and try it in your favorite LLM. Test at least one new AI IDE or extension this week.

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You can supplement or even replace costly surveys with AI Personas. Nick & Jesse unveil synthetic testing—AI-driven surveys and A/B tests you can run for pennies and in minutes. You’ll see three real Make.com automations that turn ChatGPT personas into a full research engine:

• Text-Based Surveys – ask AI personas anything and store the JSON answers. • Image Preference Tests – feed creative variations straight into GPT-4o Vision for instant feedback. • Operationalized Insights – auto-email (or Slack) the results so your team never digs through spreadsheets.

🔗 Free Resources → https://nryet.ai/links

💡 Key Takeaways Frameworks first, prompts second. Anchor AI tests to real personas for trustable insight. Run 10 synthetic tests a day—for FREE—and iterate creative before spending ad dollars. Operationalize or bust: Don't just experiment. Results should impact your day to day.

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Ready to future-proof your marketing with AI? In this first installment of our AI-Marketing masterclass, Jesse and Nick Bushkar kick off a the series that walks you from strategy foundations to hands-on execution. Today’s episode lays the groundwork you’ll use in future parts:

• AI Engagement Levels Framework – find out which of the 9 levels you occupy and why it matters. • Marketing Funnels, Personas & Jungian Archetypes – see how large-language models already “know” these classic frameworks and how to exploit that shared knowledge for instant brainstorms. • Live demo of our custom GPT, “Synthetic Strategist Steve,” • A full Make.com tutorial that turns persona data into reusable assets outside ChatGPT. • Sneak peek: next episode we’ll stress-test synthetic A/B tests to get the most from your media budget.

🔗 Free Resources Mentioned → https://nryet.ai/links Try Synthetic Strategist Steve GPT Download the full Make.com Persona Scenarios Get the Future Fluency Framework

💡 Key Takeaways Frameworks first, tools second. AI excels when it can anchor to proven marketing models. Personas ≠ guesswork. Use LLMs to surface hidden psychographic clues and store them in your own database. Archetypes travel across culture & time. Map your brand to an archetype and your creative decisions simplify overnight. Automation amplifies insight. Pair ChatGPT output with Make.com (or your favorite no-code platform) to keep data alive outside the chat.

🚀 Join the Not Replaced Yet Community If today’s episode leveled-up your thinking, smash 🔔 Subscribe so you don’t miss Part 2. Know someone who’s feeling left behind? Share this podcast—they’ll thank you later.

🔹 Follow us on Socials TikTok • Instagram • LinkedIn • Facebook @NotReplacedYet

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