In this episode, Kyle and Jess are completely overhaul their most popular episode on prompt engineering, because GPT-5 isn't just faster than GPT-4 - it's fundamentally different. It follows instructions with "surgical precision," handles 800 pages of context at once, and will get confused if you give it contradictory prompts that older models would just ignore. Not to mention there's been a whole host of other updates to prompt engineering that deserve attention too.

We dive deep into why role prompting (like "act as a marketing expert") is largely ineffective according to new research, introduce the game-changing 4C Framework that actually works with GPT-5's precision, and show you how few-shot prompting can boost accuracy from 0% to 90%.

Plus, we break down the shocking MIT report showing 95% of AI pilots are failing - and why that's actually great news for small businesses.

Whether you're frustrated with generic AI responses, wondering why your old prompts don't work as well anymore, or ready to master the communication skills that'll give you a massive competitive advantage, this episode is your roadmap to prompt engineering mastery in 2025.

What You'll Learn:

Why GPT-5's "surgical precision" requires completely different prompting strategies than GPT-4
The 4C Framework: Clear, Context, Constraints, and Calibration for consistent AI results
Why "act like an expert" prompts fail and how few-shot examples boost accuracy by 90%
How to leverage GPT-5's massive 400,000 token context window for complex business analysis
The difference between GPT-5's fast mode and deep reasoning mode - and when to use each
Real business scenarios: analyzing sales data, communicating project delays, and investor presentations

00:00 Intro and a special surprise from CatBus

05:00 Revisiting Prompt Engineering - Why It Matters

08:16 Prompt Engineering: How Is GPT-5 Different?

17:53 Updating Commonly Held Beliefs About Prompt Engineering

19:58 WTF is Shot Prompting and How Does It Help Write Better Prompts?

21:45 Why You Need to Prioritze Your Context in Prompt Engineering

22:36 Decomposition and Self-Criticism in Prompt Engineering

25:32 Introducing the 4Cs Framework (+P) of Prompt Engineering

34:23 Applying the 4C Framework in the Real World

42:34 AI News of the Week: Bad News for Enterprise AI Projects

50:19 AI Gone Wrong: A Cautionary Tale

56:09 Quick Wins for Effective Prompt Engineering: Updated

If this episode helped you finally get consistent results from ChatGPT-5, share it with other business owners still struggling with generic AI responses.

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How to Get AI to Actually Do What You Want - Prompt Engineering That Doesn't Suck: Electric Boogaloo

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