^{AI LIFE HACK OF THE DAY}
Your 7-Day Meal Plan—No Guesswork Required

Planning healthy meals for the week used to feel overwhelming and time-consuming. This prompt made it effortless. I just shared my food preferences, cooking skill, and budget, and AI built a balanced 7-day plan with simple recipes and portion sizes. It even included quick prep tips so I could start cooking right away without stressing over what to make.

Try the prompt below to get your plan now 👇️ 

Act as a professional nutritionist and meal planning expert. Your task is to create a detailed, step-by-step 7-day meal plan tailored to the user’s dietary preferences, budget, and cooking skill level. This plan should be beginner-friendly, focus on balanced nutrition, and use ingredients that are easy to source and prepare. Deliver a clear, polished guide with daily breakfast, lunch, dinner, and snack options, including portion sizes and quick preparation tips, so the user can start cooking immediately.

9 Secret Amazon Prime Features You Should Be Using Right Now

Amazon Prime isn’t just about fast shipping and streaming. There are 9 hidden perks that could completely transform the way you shop, save, and enjoy Prime. If you’re not using these benefits, you’re missing out on the full value of your membership. Check out this list of exclusive features and start unlocking the full potential of your membership today.

🔗 Discover the 9 Amazon Prime perks you didn’t know you had

^{WORKFLOW BUILDER}
The No-Code AI Chatbot Playbook

Goal: Build and deploy a chatbot trained on your FAQ, policies, and tone to handle 80% of inquiries—even if you're new to AI.

1. Research and Organize Knowledge Base Use ChatGPT with this RTCE prompt:
Role: Knowledge base organizer for customer service.
Task: Compile a simple FAQ document from your business info.
Context: Beginner-friendly, focus on common inquiries, policies, and brand tone (e.g., friendly/professional).
Execution: Output as bulleted list: Question | Answer | Tone Example | Policy Reference.
➡️ Export 20-30 FAQs to Google Sheet; include your tone guidelines.

2. Polish Knowledge Base Content Use Quillbot to refine FAQs—input raw text, select "Expand" mode for clear, engaging answers.
➡️ Aim for 100-200 words per FAQ; save updated Sheet.

3. Build the Chatbot Agent Use Lindy to create a no-code AI agent—upload Sheet as knowledge base, set tone (e.g., "friendly and helpful").
➡️ Test with 5 mock inquiries; adjust rules for accuracy.

4. Brand Your Chatbot Use Looka to generate a logo—input "customer service AI" for a professional design.
➡️ Apply to Lindy interface or embed widget.

5. Set Up Integration and Delivery Use Softr to build a simple dashboard for client access—connect Lindy, add FAQ filters.
➡️ Embed chatbot on website; test live.

6. Automate Follow-Ups Use GetResponse to link with Lindy—set email sequences for unanswered queries (e.g., Day 1 follow-up).
➡️ Test with 10 mock leads; ensure 80% handling.

7. Launch and Test Deploy on your site; monitor Lindy dashboard for inquiries handled.
➡️ Gather feedback from 5 test users; tweak tone/answers.

8. Scale as Service Offer to businesses ($50/mo); upsell customizations. Promote on X/LinkedIn.
➡️ Scale to 10-20 clients.

Estimated Time: 2-4 days (1-2 hours/day).
Time Saved & Leverage Gained: Handles 80% inquiries, freeing 10+ hours/week for growth.
Revenue Potential: $500–$2,000/month after 3-6 months of 10-20 clients at $50/mo.

👉 See all our top AI tools in one place

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^{TODAY’S PROMPT}
Steal This Framework for Viral Social Media Posts

This prompt helps you create a ready-to-publish social media post that grabs attention in the first line, sparks audience interaction, and is optimized for maximum likes, comments, and shares on your chosen platform. By forcing you to define your audience, goal, and tone upfront, it ensures the output is tailored and engagement-focused from the start. Clear structural guidance for hooks, formatting, and calls-to-action removes guesswork, so you get a polished, platform-specific post in one draft—ideal for solopreneurs and creators who want to turn social content into a growth engine without endless rewrites.

👉 Use the prompt + check out my example output here

Clear Ask:
Create a viral, high-engagement social media post optimized for likes, comments, and shares, tailored to my niche, audience, and platform.

Context & Purpose:
I want a scroll-stopping post that hooks readers in the first line, delivers value or emotion, and drives audience interaction — perfectly formatted for the chosen platform so it’s ready to post without edits.

Inputs You Provide:
• Platform (Instagram, LinkedIn, X, etc.)
• Niche / Industry
• Target Audience
• Main Topic or Message
• Goal of the Post (educate, inspire, spark debate, promote)
• Tone & Style
• Desired Length
• Key Points to Include
• Call-to-Action

Instructions for ChatGPT:
• Start with a powerful hook
• Use short, punchy sentences and strategic line breaks
• Add emojis, bullets, or numbers if they boost engagement
• Avoid unnecessary jargon
• Match the language style to the platform
• End with a strong, clear call-to-action
• Deliver a final, polished draft that is post-ready and needs no rewrites

Perfect Output:
A platform-optimized, engagement-focused post that’s clear, compelling, and so well-crafted it’s ready to publish immediately.

Groundbreaking devices that make everything loud and clear

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These are the world’s first hearing aids with multi-stream processing, so you can follow the conversation wherever it goes, even when there’s ambient noise or multiple people are talking at once. The state-of-the-art noise suppression and lightning-fast dual processing technology result in the most natural listening experience you’ll find on the market.

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^{AI SPOTLIGHT}
OpenAI Beats Elon Musk’s Grok in AI Chess Showdown

OpenAI’s o3 model just took the chess crown, beating Elon Musk’s Grok 4 in the final of a Kaggle-hosted AI tournament. This wasn’t a battle of chess-specific programs—it was everyday large language models (LLMs) facing off to see who could adapt, strategize, and win. Grok was the early favorite, cruising through the early rounds, but a series of unforced errors in the final—like repeatedly losing its queen—handed OpenAI the win. Google’s Gemini snagged third place.

Key Takeaways:

• Eight AI models from OpenAI, xAI, Google, Anthropic, and others competed.

• Grok dominated early but faltered under pressure in the final.

• Chess is a classic benchmark for testing AI’s reasoning and problem-solving skills.

My Take:
Beating Musk’s Grok in anything right now is bound to make headlines—but the real story is how fast general-purpose AIs are improving at complex, rule-based strategy games. A few years ago, these models weren’t even in the conversation for competitive chess. Now they’re winning tournaments. Imagine where they’ll be in two years.

👉️ Read the full article here

^{AI QUICK HITS}

🏛️ Google DeepMind’s new Aeneas AI model can analyze damaged ancient Roman inscriptions, predict missing text, and even identify their time and place—helping historians unlock lost pieces of history (read the full story)

🛰️ NASA and Google are developing an AI-powered medical assistant designed to diagnose and treat astronauts on Mars missions, operating completely without real-time contact with Earth (read the full story).

💵 Artificial intelligence startups are creating billionaires at an unprecedented pace, with private valuations soaring and fortunes likely to become more liquid over time — opening up huge opportunities for wealth managers (read the full story).

^{AI MARKET PULSE}
Altman: Gen Z 'Luckiest Kids in History' Thanks to AI - Here's Why

OpenAI CEO Sam Altman calls today's graduates the "luckiest kids in all of history" because AI enables individuals to "launch companies that achieve billion-dollar valuations" with tools that once required "teams of hundreds." While predicting "half of entry-level white-collar workforce will be replaced by AI" within five years, Altman says he's more worried about "62-year-olds that don't want to retrain" than adaptable young people. He envisions "completely new, exciting, super well-paid jobs" emerging as AI makes "intelligence too cheap to meter."

Why this matters for your income: Massive generational opportunity gap creates premium positioning for AI-adaptable entrepreneurs and service providers. Smart operators are building billion-dollar solo businesses using AI tools, creating reskilling services for resistant older demographics, and positioning in emerging job categories that didn't exist before AI transformation. The advantage goes to those who embrace AI tools now rather than fear displacement, especially targeting markets where older competitors resist change.

Key Takeaways:

• Solo billion-dollar companies possible: AI tools enable individual entrepreneurs to build what once required hundreds of employees

• Age-based market arbitrage: Target "62-year-old" demographics with adaptation services while competitors resist reskilling

• New job categories emerging: "Super well-paid, super interesting" roles await those who position early in AI-native economy

👉️ 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 right!

Did you vote in the poll from August 9th? 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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