I'm curious if I can use the learnings from this course to create jobs and professions of the future. We know that the current professions are evolving, but it's hard for people to imagine what's coming next. I wonder if I can develop an interesting prompt to help us design new professions, similar to how scientists are using AI in new drug development.
This is great, I have sent an hour or 2 playing with your example infinite prompt in ChatGPT 4o. It is actually blowing mind, to see all the different approaches and methods it suggests to improve and refine the iterative prompting framework.
I have ended up with:
- A finalised "Iterative Prompting Framework" for which I can create a structured implementation guide and potentially develop an AI tool prototype
I then tested the Iterative prompt to come up with ideas for “How can we create a viral AI product that solves a single, specific problem effectively?” (this question was suggested by ChatGPT, not me). This culminated in ChatGPT giving me a "Viral AI Product Development Playbook" which it developed by working through the iterative prompt framework!!
Just for interest, some of the ideas it came up with were:
- 1️⃣ AI-Fueled “Ghostwriter” for Social Media & Dating Apps
🚀 Problem: People struggle to craft witty, engaging, and natural-sounding text for dating apps & social media.
🤖 Solution: An AI that learns your texting style and autogenerates replies for you in real-time.
🔥 Why It Could Go Viral:
✅ Directly solves a widespread frustration.
✅ Hyper-personalization makes it feel unique for each user.
✅ Seamless integration into existing platforms (WhatsApp, Tinder, Instagram).
💡 Disruptor Applied: Constraint-Based Disruptor → “Make it a product that solves a single daily annoyance.”
2️⃣ AI-Based “Call My Bluff” Scam Detector for Phone & Email
🚀 Problem: People fall for scam calls, phishing emails, and fraud texts.
🤖 Solution: AI listens to calls & scans messages in real-time, detecting if they’re fraudulent.
🔥 Why It Could Go Viral:
✅ Massive demand—people hate scam calls & phishing.
✅ Easy viral moments—users share stories of scams they avoided.
✅ Simple onboarding—plug into iOS, Android, and email providers.
💡 Disruptor Applied: Inversion Disruptor → “Instead of solving a positive problem, prevent a negative one.”
I'm thinking all that work you've done around meta-cognition has put you in a advanced position to apply those principals in AI - with extraordinary results.
I'm definitely not up to speed on everything you covered - but even if I get a 'D' in this course - I'll still be light years ahead of most imho.
No question - 2025 is going to be a very interesting year.
John - That’s exactly how I feel about this course topic. I have studied metacognition for 8 years pretty intensively, and I find the topic fascinating, so I think it is an area where I can make unique contributions.
Fascinating! What a super-toy to play with.
Fascinating, as always!
I'm curious if I can use the learnings from this course to create jobs and professions of the future. We know that the current professions are evolving, but it's hard for people to imagine what's coming next. I wonder if I can develop an interesting prompt to help us design new professions, similar to how scientists are using AI in new drug development.
This is great, I have sent an hour or 2 playing with your example infinite prompt in ChatGPT 4o. It is actually blowing mind, to see all the different approaches and methods it suggests to improve and refine the iterative prompting framework.
I have ended up with:
- A finalised "Iterative Prompting Framework" for which I can create a structured implementation guide and potentially develop an AI tool prototype
I then tested the Iterative prompt to come up with ideas for “How can we create a viral AI product that solves a single, specific problem effectively?” (this question was suggested by ChatGPT, not me). This culminated in ChatGPT giving me a "Viral AI Product Development Playbook" which it developed by working through the iterative prompt framework!!
Just for interest, some of the ideas it came up with were:
- 1️⃣ AI-Fueled “Ghostwriter” for Social Media & Dating Apps
🚀 Problem: People struggle to craft witty, engaging, and natural-sounding text for dating apps & social media.
🤖 Solution: An AI that learns your texting style and autogenerates replies for you in real-time.
🔥 Why It Could Go Viral:
✅ Directly solves a widespread frustration.
✅ Hyper-personalization makes it feel unique for each user.
✅ Seamless integration into existing platforms (WhatsApp, Tinder, Instagram).
💡 Disruptor Applied: Constraint-Based Disruptor → “Make it a product that solves a single daily annoyance.”
2️⃣ AI-Based “Call My Bluff” Scam Detector for Phone & Email
🚀 Problem: People fall for scam calls, phishing emails, and fraud texts.
🤖 Solution: AI listens to calls & scans messages in real-time, detecting if they’re fraudulent.
🔥 Why It Could Go Viral:
✅ Massive demand—people hate scam calls & phishing.
✅ Easy viral moments—users share stories of scams they avoided.
✅ Simple onboarding—plug into iOS, Android, and email providers.
💡 Disruptor Applied: Inversion Disruptor → “Instead of solving a positive problem, prevent a negative one.”
3️⃣ AI-Powered “Meeting Killer” (Auto-Decline & Summary Generator)
🚀 Problem: Endless meetings waste time, but skipping them leads to FOMO.
🤖 Solution: AI auto-detects if a meeting is useful for you—if not, it declines & generates a smart summary.
🔥 Why It Could Go Viral:
✅ Time-saving appeal—people love cutting useless meetings.
✅ Memeworthy—“My AI just skipped my boss’s meeting, and it was right.”
✅ Easy adoption—works with Zoom, Google Calendar, Slack.
💡 Disruptor Applied: Black Box Disruptor → “Solve the problem without the user needing to participate.”
4️⃣ AI “Pause & Think” Plugin for Social Media Rage-Posting
🚀 Problem: People impulsively tweet/post things they regret later.
🤖 Solution: AI detects emotional triggers in real-time and asks, “Are you sure?” before posting.
🔥 Why It Could Go Viral:
✅ Solves an emotional problem—regret from posting in anger.
✅ Highly shareable—people tweet screenshots of AI stopping them.
✅ Built-in virality—social media itself fuels the product’s spread.
💡 Disruptor Applied: Goal Shifting Meta-Disruptor → “What if the goal was to prevent action, not enable it?”
5️⃣ AI-Powered “Hyper-Niche YouTube Generator”
🚀 Problem: People want video content tailored to their weird niche interests.
🤖 Solution: AI instantly generates custom, narrated YouTube-style explainer videos from any prompt.
🔥 Why It Could Go Viral:
✅ Solves an untapped demand—hyper-niche long-tail content.
✅ Endless viral potential—users generate weird, ultra-specific videos.
✅ Perfect for TikTok, YouTube Shorts—short-form, engaging.
💡 Disruptor Applied: Random Association Disruptor → “Take an existing successful format and make it AI-driven.”
Mind blown! I am off for a walk!!
Love this Jim! You win the award for fastest action taker!
Out of curiosity, what was your #1 insight on how to create better infinite prompts from playing around with it?
I'm thinking all that work you've done around meta-cognition has put you in a advanced position to apply those principals in AI - with extraordinary results.
I'm definitely not up to speed on everything you covered - but even if I get a 'D' in this course - I'll still be light years ahead of most imho.
No question - 2025 is going to be a very interesting year.
John - That’s exactly how I feel about this course topic. I have studied metacognition for 8 years pretty intensively, and I find the topic fascinating, so I think it is an area where I can make unique contributions.
Absolutely!