Okay… I had a little holy s#!t moment talking to my friend Abdul the other day. 😂 Me: “Dude… I think Prompt Engineering may be going the way of the DOS prompt.” He looked at me like I was high on caffeine!! 😂 Me: "hear me out…Remember DOS with the C Prompt? || C:\>_ Back then, you actually had to KNOW the commands to make your computer do what you wanted. Then Microsoft Windows came along. Point. Click. Drag. Drop. Windows didn't kill DOS, it just put a much easier and prettier layer on top of DOS soOoo users can do their work effortlessly. You didn't have to think about what was happening underneath. And now I'm wondering… "Are AI Agents becoming the Windows layer for prompting?" Today: You → Clever Prompt → AI → Answer But imagine Tomorrow: You → Instruct Your AI Agent → Agent gets work done You don't necessarily have to figure out the perfect prompt anymore. You just say: > “Hey, build me a marketing campaign for my 3-Day Vibe Code Workshop.” And your Agent figures out the prompts, breaks down the task, uses the tools, does the work and comes back when it needs you.🤯 That's a pretty big shift!! So maybe I'm wrong and Prompt Engineering isn't actually dying. Maybe it's becoming the DOS prompt underneath the new AI Agent layer?? Just like Windows hid the complexity of DOS… AI Agents may hide the complexity of prompting. And if that's where we're heading, maybe the new skill isn't: “How do I write the perfect prompt?” Maybe the new skill is gonna be: “How do I direct an AI Agent to build out the full workflow?" Hmmmm… 🤔 Am I onto something here, or am I high on caffeine??? 😂👇

1. The domain of this prompt should be: Shopping Craft a clear, natural-language question that requires web research to answer and has exactly one verifiable answer. The question should be complex enough that reaching the correct answer requires consulting at a minimum of 3 distinct sources. Please ensure your prompt is between 70 - 150 words in length. Test Your Prompt Please review instructions to start a new chat through this video to copy your prompt and submit your prompt into 3 new chats using 3 different tabs in your ChatGPT using GPT-5.5 Pro Thinking Extended. You can test all three at the same time. After the models finish responding, confirm that at least 2/3 produce a meaningful model failure, meaning it reaches an incorrect final answer. The following do not count as model failures and will result in task rejection: Minor rounding or formatting differences Abbreviations or stylistic variations Failures caused by an underspecified or ambiguous prompt Responses with incorrect reasoning but the correct final answer 2. Confirm the Model Failure Review the models final answer and compare it to your verified answer. Only continue if 2/3 the models produced an incorrect final answer. The failure must be caused by the model, not by an ambiguous or underspecified prompt. Do not continue if: The final answer is correct. The only differences are formatting, abbreviations, or minor rounding. The prompt is ambiguous or lacks enough information to determine a single correct answer. Please confirm how many responses failed felow: To ensure difficulty, after you submit your completed task, an automatic evaluation will run your prompt against the model 8 times to confirm it stumps the model at least 4 times. 1/3 Response Failed 2/3 Response Failed 3/3 Response Failed

I doubt this is a brand new thought, but I figured I’d share it here since we’ve talked about project instructions quite a bit. I’m relaunching my blog and plan on using ChatGPT to write the articles. BUT I didn’t want information that isn’t mine in any of my posts. They’ll be my work, I’m just using AI to help with phrasing and so on. So I linked my project folders where I work on my content, linked my website, and gave specific instructions to only use info that I give and my sources. Once a detailed outline is set, it can suggest outside info and include links so I can verify it. Secondary sources are flagged as such and social media only info is also flagged. Then I opened a new chat in the project folder and asked ChatGPT to review the instructions for clarity and tell me its interpretation of them. After I reviewed that I asked for any suggested additions to the instructions. It had some great ones! After I reviewed it all, I asked for all suggestions to be listed together so I could copy and paste them. As a result, I have a VERY long set of instructions for my blog project folders that will help me and keep it authentically me!

I am new here. Thank you for welcoming me to this community. I wanted to share something that may help us get better and more useful responses from ChatGPT. First, an important clarification: ⚠️ These are NOT official ChatGPT commands, secret codes, or hidden modes. They are PROMPT SHORTCUTS — easy labels we can use to tell ChatGPT what type of reasoning, analysis, tone, or approach we want. For the best results, especially in a new conversation, don’t rely on the shortcut word alone. Type the shortcut AND tell ChatGPT what you want it to do. Here are some useful ones and how to use them correctly: 🔹 TRUTHMODE USE WHEN: You want honest feedback instead of reassurance or automatic agreement. PROMPT: “TRUTHMODE: Give me your honest assessment. Don’t agree with me just to be agreeable. Tell me what works, what doesn’t, and what I may be overlooking.” 🔹 ELI10 USE WHEN: Something is complicated and you want it explained in simple language. PROMPT: “ELI10: Explain this to me as if I were 10 years old. Keep the language simple, but don’t leave out information I actually need to understand it.” 🔹 REDTEAM USE WHEN: You have an idea, plan, business strategy, argument, or decision and want someone to challenge it BEFORE you act on it. PROMPT: “REDTEAM: Challenge this idea. Look for weaknesses, risks, blind spots, incorrect assumptions, counterarguments, and reasons this could fail.” 🔹 80/20 USE WHEN: You’re overwhelmed and need to know what actually deserves your attention first. PROMPT: “80/20: Apply the Pareto principle to this situation. Identify the few actions likely to produce the greatest results and tell me what I should prioritize first.” 🔹 FIRSTPRINCIPLES USE WHEN: You don’t want the standard answer and want the problem broken down logically from the beginning. PROMPT: “FIRSTPRINCIPLES: Break this problem down into its fundamental facts and assumptions. Separate what we know from what we’re assuming, then build the best solution from there.” 🔹 SOCRATES USE WHEN: You want ChatGPT to help you THINK through something instead of simply handing you an answer.

ChatGPT can only work with the information you give it. ❌WEAK PROMPT: “Help me start a business.” You’ll probably get a broad, generic answer because ChatGPT doesn’t know your budget, location, business model, platform, or goal. ✅ BETTER PROMPT: “I’m starting a print-on-demand clothing business in Canada with a $300 startup budget. I want to sell primarily through TikTok. Give me a 30-day launch plan, prioritize free or low-cost tools, and separate MUST DO from NICE TO HAVE.” 🔥 THE FORMULA: GOAL + CONTEXT + CONSTRAINTS + DESIRED OUTPUT The more relevant information you give ChatGPT, the more useful and personalized the response can be. You don’t necessarily need a LONGER prompt. You need a CLEARER prompt. 🎯