🥯 Today on Bagel Bots

• 💰️ Monetization Insight: Create Faster Decisions Using RTCE Prompts

• 🔧 Workflow Builder: Launch Faceless Videos That Earn Daily

• 💡 Today’s Prompt: Optimize Any Prompt for Better Results

• 📰 One Big Story: Nvidia Unveils AI Chips for Robotics

• 🤖 Cool Tech: DeepMind Files Patent for Robot Monologue

• 🌎️ AI Market Pulse: Bridge the Gap Between Business and AI

• 🖼️ Which Image Is Real? AI or not? Take your best guess.

💰️ Monetization Insight of the Day
How I Use AI to Replace Brainstorming (And Make Decisions 10x Faster)

Here’s something I’ve stopped doing: sitting around trying to "come up with ideas." I still whiteboard and journal from time to time, but these days, I lean heavily on AI to do the heavy lifting. It’s faster, more structured, and way more actionable.

Last month, I used ChatGPT to figure out the best real estate investment strategy for my current situation. I started with a simple RTCE prompt, refined it over a few iterations, and then started asking tough questions—almost debating the AI. What came out wasn’t just a list of ideas. It was a detailed report with pros, cons, and action steps that would’ve taken me at least a week to write on my own.

That process took a few hours—not days. And the clarity it gave me? Game-changing. I’ve even started using Fathom to record key brainstorming calls so I can drop the summaries straight into ChatGPT. That combo has become my personal research engine.

This is why I tell people to stop thinking of AI as a “hack” and start thinking of it as a co-pilot. I use the same process to build product ideas, write content outlines, and even weigh business strategy. It doesn’t replace intuition—it speeds up the path to insight.

🔑 Key Takeaways
• RTCE prompts give you structured output fast
• Editing the prompt is where the real gold lives
• Tools like Fathom + ChatGPT make brainstorming frictionless
• AI doesn't kill creativity — it amplifies it with speed and clarity

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🔧 Workflow Builder 
Launch a Faceless YouTube Channel (No Experience Needed)

Goal: Create short faceless videos that review AI tools and earn affiliate commissions — even if you’ve never published a video before.

1. Pick Your Niche in 5 Minutes
Use ChatGPT with this RTCE prompt to get clarity fast:
Role: Online business coach
Task: Recommend 3 profitable YouTube niches based on affiliate potential
Context: I’m brand new. I want to post short faceless videos and earn affiliate income from tools I promote.
Execution: Include a few example video topics + why each niche is good for beginners.
➡️ Pick one niche that excites you (e.g. AI tools, productivity apps, or crypto side hustles).

2. Script Your First Video
Choose a tool with a free plan like ElevenLabs, AdCreative.ai, or Choppity. Then use this prompt in ChatGPT:
“Write a 2-minute YouTube script reviewing [TOOL]. Make it beginner-friendly. Focus on what the tool does, 3 key benefits, and a CTA to try it using my affiliate link.”

3. Create a Faceless Video in 10 Minutes
Paste your script into Vidnoz AI or Spiritme to generate a talking avatar with voiceover. Clean it up with Gling AI to remove pauses and tighten flow. Export in landscape (YouTube) and vertical (Shorts/TikTok).

4. Post Your First Video
Upload to YouTube. Use a benefit-driven title like:
"[Tool Name] Review: How I Use It to [Benefit] (Full Walkthrough)"
Add your affiliate link + 1–2 line summary in the description:
Try ElevenLabs free → [affiliate link]
Create ultra-realistic AI voiceovers in minutes.

5. Turn It Into a Short
Use Choppity to instantly clip your video into a 30–60 sec short. Add auto-captions and post to Shorts + TikTok with your affiliate link in the bio.

6. Repeat with New Tools
Stick to one niche (e.g. "AI for solopreneurs") and post 2–3x per week. Use ChatGPT to script future reviews faster and track what drives clicks.

Estimated Time: 90 minutes for your first video
Time Saved & Leverage Gained: No on-camera work or manual editing
Revenue Potential: $300–$1,500/month with consistent posting and tool reviews

👉 See all our top AI tools in one place

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💡 Today’s Prompt
Turn Any Prompt Into a High-Performer

This mega prompt instantly turns rough ideas into two polished, high-performing ChatGPT prompts—so you get clean, clear, and on-target outputs without revisions. It works by guiding ChatGPT to think like a trained prompt engineer, optimizing structure, tone, and output format. Perfect for solopreneurs, marketers, and creators who need reliable results fast without learning prompt theory.

👉 Use the prompt + check out my example output here

Clear Ask:
You're a prompt engineer. Take my rough prompt and rewrite it using best practices for clarity, role definition, tone, output format, and constraints. Return two optimized versions.

Context & Purpose:
I need a reliable prompt that gets great results on the first try—clean, clear, and tailored to my use case. This should remove guesswork and boost performance instantly.

Inputs You Provide:
• Rough Draft Prompt
• Target Audience (e.g. SaaS founders, job seekers)
• Tone (e.g. persuasive, casual)
• Output Format (e.g. list, email, landing page)
• Goal of Output (e.g. convert, explain, inspire)
• Length (optional)
• Platform (optional)
• Constraints or Notes (optional)

Instructions for ChatGPT:
• Use the RTCE structure: Role, Task, Context, Expected Output
• Return 2 versions: one pro version, one alternate style
• Briefly explain what you changed and why
• Make it polished and ready to use—no revisions needed

Perfect Output:
2 optimized prompts ready to drop into ChatGPT—plus a quick breakdown of improvements. Just copy, paste, and win.

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📰 One Big Story
Nvidia Just Launched the Next Era of AI

Jensen Huang hit the GTC 2025 stage with what might be the most important announcement in AI hardware since the original GPT moment. His message was simple: AI is moving from language to action — and Nvidia is arming the world to build it.

The new Rubin chip architecture (coming 2026) is designed to power the next wave: physical AI. Think robots that reason, understand inertia and friction, and learn through simulation — not just code. Nvidia’s bet? Synthetic data and simulation engines like Omniverse will replace the need for real-world demos, slashing time and cost to train intelligent machines.

Key Takeaways:

• Rubin AI chips + Cosmos + Omniverse = full-stack robotics training and deployment.

• Nvidia’s new open-source robot tools (like Isaac GR00T and Newton) make advanced robotics accessible to more than just Big Tech.

• This shift opens massive new market opportunities — from humanoid helpers to self-driving cars.

My Take:
This isn’t just a chip drop. This is Nvidia setting the table for the trillion-dollar robotics economy. If you’re building, investing, or even experimenting in AI, this is your “don’t blink” moment. The age of generalist robots is here — and it’s going to print more fortunes than the internet did.

👉️ Read the full article

🤖 Cool Tech
DeepMind Wants Robots to Think Out Loud

DeepMind just filed a patent to give AI robots an inner monologue. Think: a robot watches someone pick up a cup, and narrates to itself, “the person picks up the cup.” It’s not just clever—it’s a major leap in helping robots learn new tasks without needing endless training data.

This is what’s called zero-shot learning: the ability to generalize to situations they’ve never seen before. Combine that with lower compute requirements, and suddenly you’re looking at scalable, adaptable AI agents that could operate in the real world without constant handholding.

Key Takeaways:

• Robots with inner speech can learn by watching, then narrating what they see.

• This unlocks faster training, better generalization, and lower hardware demands.

• Google’s building offline-first AI models that work right on the robot—no cloud needed.

👉️ Read the full article

🌎️ AI Market Pulse
How Artificial Intelligence Is Transforming the World

AI is delivering massive economic transformation across every sector, with PricewaterhouseCoopers estimating artificial intelligence could increase global GDP by $15.7 trillion—a full 14%—by 2030. Financial AI investments tripled to $12.2 billion between 2013-2014, while autonomous vehicles attracted over $80 billion in funding. China is investing $150 billion to become the global AI leader by 2030. High-frequency trading machines have replaced human decision-making in stock exchanges, and AI systems are revolutionizing healthcare, criminal justice, and smart city operations.

Why this matters for your income: The $15.7 trillion transformation creates unprecedented demand for AI implementation specialists while revealing critical skills shortages. There are current shortages of data scientists, engineers, and platform developers needed for AI deployment. Smart entrepreneurs are positioning themselves as bridges between traditional businesses and AI transformation, offering implementation services and consulting as entire industries scramble to adopt AI capabilities or risk competitive extinction.

🔑 Key Takeaways:

• $15.7 trillion transformation creates massive opportunities: Global GDP impact proves AI adoption is economic necessity, not optional enhancement

• Skills shortage drives premium pricing: Current shortages of AI professionals create lucrative consulting and training opportunities

• Every industry needs implementation help: Sectors are investing billions but lack expertise to deploy AI effectively

👉️ Read the full article here

🤔 Which image is real?

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way. My only goal is to choose such good photos that the majority of votes are wrong.

The last edition’s results—56% were wrong!

Did you vote in the poll from July 11th? The top image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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