🥯 Today on Bagel Bots

• 💰️ Monetization Insight: Run Your Mindset Like a Business

• 🔧 Workflow Builder: Turn Blog Posts Into YouTube Cash Machines

• 💡 Today’s Prompt: Package Your Knowledge. Start Selling Fast.

• 📰 One Big Story: Trump Bets Big on AI Infrastructure

• 🤖 Cool Tech: AI Brain Implants Now Adapt in Real Time

• 🌎️ AI Market Pulse: AI Just Changed How Sales Works Forever

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

💰️ Monetization Insight of the Day
How I Use AI to Track My Personal Growth Like a Business

We track leads, revenue, performance—but what about mindset?

Every Sunday night, I do a 10-minute recap of my week: wins, failures, triggers, stress, energy, anything that stands out. Then I drop that into ChatGPT with this prompt:

“You’re my personal growth analyst. Based on this week’s events, what habits, thoughts, or patterns are helping or hurting me?”

ChatGPT gives me a full breakdown—what improved, what slipped, and where I should focus. It’s objective, honest, and surprisingly insightful. No fluff. Just clean feedback.

Now I’ve taken it a step further. I built a reflection bot inside MindStudio that asks me five questions, stores my responses, and generates a weekly summary I can actually use. It’s like a personal performance review—without the awkward Zoom call.

If you want to grow like a pro, treat your inner world the same way you treat your business: track it, review it, and adjust.

🔑 Key Takeaways
• Recap your week in a few bullet points—then drop it into ChatGPT
• Use reflection prompts to surface patterns you’d never notice on your own
• MindStudio makes it easy to automate your weekly reviews
• Compounding personal growth starts with consistent reflection

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🔧 Workflow Builder 
Turn Blog Posts into Monetized YouTube Videos (No Camera Required)

Goal: Transform your existing blog content into engaging YouTube videos that drive affiliate sales and product revenue — even if you've never filmed anything before.

1. Select Your Top-Performing Content Use ChatGPT with this RTCE prompt: Role: YouTube content strategist Task: Analyze my blog posts and rank them by video potential Context: I want to repurpose written content into monetized YouTube videos with affiliate links Execution: List top 5 posts with reasoning, suggested video angles, and monetization opportunities ➡️ Pick posts with strong engagement, clear value propositions, and natural affiliate tie-ins.

2. Convert Blog to Video Script Use this ChatGPT prompt for each selected post: "Convert this blog post into a 4-minute YouTube script: [paste content]. Structure with hook, 3 main points, examples, and strong CTA. Make it conversational and include natural spots for affiliate mentions." Polish the script using Quillbot for better flow and engagement.

3. Create Professional Voiceovers Upload your script to ElevenLabs and select a consistent AI voice. Generate the full voiceover in high quality. Download the audio file and keep the same voice across all videos for brand consistency.

4. Generate Visual Content Use Vidnoz AI to create talking avatar videos with your script, or Use Neural.love to generate custom visuals, charts, and graphics that match your content. Combine voiceover with visuals to create complete video content.

5. Edit and Optimize Import everything into Gling AI to automatically remove pauses and tighten the flow. Add captions, transitions, and your branding elements. Export in both landscape (YouTube) and vertical (Shorts) formats.

6. Upload with SEO Strategy Create benefit-driven titles: "[Topic]: How I [Result] in [Timeframe] (Step-by-Step)" Include affiliate links in description with clear value propositions. Use relevant tags and timestamps for better discoverability.

7. Repurpose for Maximum Reach Use Choppity to clip your long-form video into 3-5 YouTube Shorts. Extract key quotes and insights for social media posts. Create email newsletter content promoting the video to your list.

8. Scale with Automation Set up Castmagic to automatically generate video titles, descriptions, and social posts. Create templates for consistent thumbnail designs and video structures. Build a content calendar repurposing 2-3 blog posts per week into video content.

Estimated Time: 2 hours for your first video, 45 minutes once systematic
Time Saved & Leverage Gained: Turn existing content into multiple revenue streams without creating new material
Revenue Potential: $1,000–$4,000/month from YouTube ad revenue + affiliate commissions + product sales

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💡 Today’s Prompt
Turn Your Knowledge Into a Sellable Guide

This prompt helps you turn your skills or niche knowledge into a polished digital guide that teaches beginners a specific outcome—ideal for lead magnets or instant mini-products. It eliminates overwhelm by giving you a structured, beginner-friendly format with clear headers, bullet points, and a recap section. Whether you're a solopreneur or a creator, it's the fastest way to package and sell what you already know—without overthinking or getting stuck.

👉 Use the prompt + check out my example output here

Clear Ask:
You're a content strategist. Help me turn my [topic] into a clear, helpful digital guide that teaches [audience] how to [outcome]. Break it into skimmable, beginner-friendly sections that feel genuinely useful—not salesy.

Context & Purpose:
I want to package my knowledge into a lead magnet or digital product that’s easy to follow and feels like a “quick win.” The goal is to teach, build trust, and make it simple to launch.

Inputs You Provide:
• Topic of Guide
• Target Audience
• Tone of Voice
• Core Outcome
• Preferred Length or Format
• Key Points to Include

Instructions for ChatGPT:
• Start with a 1-paragraph hook
• Use clear headers + bullets
• Write for total beginners
• Include a 3–5 point “Quick Recap” at the end
• Keep it clean, skimmable, and human-sounding

Perfect Output:
A plug-and-play PDF guide with value-packed content your audience can learn from instantly. Copy. Paste. Sell.

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📰 One Big Story
Trump Unveils $92B to Power the AI Boom

President Trump just dropped a $92 billion investment package to supercharge U.S. energy infrastructure—and it’s all about fueling AI. Speaking at Carnegie Mellon, he called out the urgency to beat China in the race, backed by Google, Blackstone, Exxon, and OpenAI.

The plan includes new AI-ready data centers, power grid upgrades, hydropower revamps, and $100B+ in private capital already in motion. With AI's energy needs projected to hit 5 gigawatts by 2028, the U.S. is betting big on energy as the backbone of AI dominance.

Key Takeaways:

• $92B public-private initiative to build AI energy infrastructure

• Google and Blackstone leading multi-billion-dollar commitments

• U.S. aims to outpace China in AI by scaling data centers + grid power

My Take:
This is the clearest signal yet that AI isn't just a tech race—it's an energy arms race. The winners will be the ones who control the power, literally. And it’s not just policy—it’s positioning. This move plants the U.S. flag in the ground.

👉️ Read the full article

🤖 Cool Tech
AI Brain Implants Adapt in Real-Time to Fight Parkinson’s

Scientists just unlocked the next generation of brain implants that don’t just stimulate—they listen. A new adaptive deep-brain stimulation (aDBS) system reads brainwaves in real-time and adjusts signals instantly, easing Parkinson’s symptoms with far more precision than ever before.

Early trial results were so strong, the FDA and EU fast-tracked approval. And unlike older implants, this system improves mobility and reduces side effects like slurred speech and impulse issues—all with a simple software update.

Key Takeaways:

• AI-powered implants now adjust to brainwaves like a neural pacemaker

• 44 of 45 patients chose to stay on the adaptive system post-trial

• aDBS may soon treat OCD, depression, and other brain disorders

👉️ Read the full article

🌎️ AI Market Pulse
The Death of Traditional Sales Has Begun

Microsoft just fired 9,000 sales reps—and it's only the beginning. The tech giant is replacing "relationship guys" with solution engineers who actually understand AI products, signaling the end of smooth-talking generalist salespeople. Investor Jason Lemkin predicts 30-40% of traditional sales reps will be replaced by AI or technical specialists within years. Companies are tired of sending product-ignorant reps to million-dollar deals when customers expect deep technical knowledge from day one. The shift is clear: AI has raised customer expectations so high that charm and relationships can't compensate for technical incompetence. Microsoft's move reflects what other enterprises are planning—replacing soft-skill salespeople with engineers who know products inside out.

Why this matters for your income: This sales transformation creates massive opportunities while traditional sales teams scramble to adapt. Companies desperately need consultants who can redesign sales processes around technical expertise, trainers who teach "solution selling" to engineers transitioning into sales roles, and specialists who help organizations rebuild their revenue teams with AI-fluent talent. Smart entrepreneurs are building $150K+ consulting practices around sales team restructuring, creating training programs for technical sales methodologies, and offering recruiting services to find hybrid engineer-salespeople as entire industries realize relationship-based selling is dead and technical competency drives revenue.

🔑 Key Takeaways:

• Traditional relationship selling is obsolete: Companies need technical experts who understand AI products, not charm-based generalists who lack product knowledge

• Massive skills gap in technical sales: Sales teams lack frameworks to sell complex AI solutions, creating lucrative training and consulting opportunities

• First-mover advantage in sales transformation: Specialists who master technical sales methodologies can command premium rates as enterprises scramble to rebuild revenue teams

👉️ 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—73% were right!

Did you vote in the poll from July 14th? The bottom 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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