^{AI LIFE HACK OF THE DAY}
Before You Order Takeout, Try This Prompt

I was staring at my fridge the other night, convinced I had “nothing to eat,” and instead of doom-scrolling for takeout, I ran this prompt through AI. In under a minute, it turned my random leftovers and pantry odds-and-ends into a couple of legit meal ideas that actually sounded good. What I love is that it doesn’t just give generic recipes—it builds meals around exactly what I already have, and even throws in tips to make them taste better. If you ever find yourself stuck wondering what to cook, this is the move.

Try the prompt below to get your budget plan now 👇️ 

Act as a professional chef and meal-planning expert. Provide step-by-step, actionable recipe ideas based on the ingredients a person already has on hand, ensuring meals are flavorful, easy to prepare, and make efficient use of available items. The person is not an experienced cook and needs clear, beginner-friendly guidance that balances taste, nutrition, and simplicity while avoiding complicated techniques or hard-to-find ingredients. Deliver a concise, easy-to-follow guide broken into clear steps with practical examples, including how to combine ingredients into multiple meal options, adjust for missing items, and incorporate quick cooking tips to enhance flavor.

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^{WORKFLOW BUILDER}
Build an AI Email Responder in 1 Hour (Save 5+ Hours/Week)

Goal: Build a Lindy agent to auto-respond to common emails (e.g., inquiries), saving 5+ hours/week on inbox management—even if you're new to AI.

1. Sign Up for Lindy
Head to Lindy and grab the free trial; select the pre-built "Email Responder" template to start.
➡️ Customize the agent name if needed; explore dashboard.

2. Generate Response Templates
Use ChatGPT prompt: "Role: Email strategist. Task: Generate 5 response templates for customer inquiries. Context: Polite, professional tone for small biz."
➡️ Copy templates to a Google Doc.

3. Polish Templates for Impact
Use Smartli to refine templates—input raw outputs for SEO-friendly, engaging tweaks.
➡️ Finalize 5 templates; save in Doc.

4. Set Up Rules in Lindy
Input templates as rules in Lindy (e.g., if email contains "quote," reply with template 1).
➡️ Add conditions like keywords or sender type.

5. Connect Your Email
In Lindy settings, link Gmail/Outlook for real-time monitoring.
➡️ Grant permissions; test connection.

6. Test with Mock Emails
Send a mock inquiry to yourself; let Lindy respond and tweak rules for accuracy.
➡️ Check for tone and personalization.

7. Deploy and Monitor
Activate the agent; monitor dashboard for 24 hours to log responses.
➡️ Adjust based on performance.

8. Scale with Customizations
Add advanced rules (e.g., escalate complex emails to humans). Upsell as a service ($50/mo) by offering pre-built agents via SitesGPT.com dashboard for clients—package templates, integrate with their email, and give tailored CTAs. Automate client delivery with Brevo funnels for recurring tweaks.
➡️ Scale to 10-20 clients for $500-$1K/mo.

Estimated Time: 1 hour setup; 30 min/month maintenance.
 Time Saved & Leverage Gained: Automates replies, freeing 5+ hours/week for sales.
 Revenue Potential: $500–$2,000/month if resold as service (10-20 clients at $50/mo).

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^{TODAY’S PROMPT}
Automate LinkedIn and Turn Every Post Into Revenue

This prompt helps you turn LinkedIn into a revenue‑driving system by automating post creation, lead engagement, and outreach with AI tools. It works because it delivers a clear, step‑by‑step playbook that eliminates the guesswork of manual prospecting and inconsistent posting, showing solopreneurs and creators exactly how to leverage AI for consistent content, targeted engagement, and faster monetization. Anyone looking to convert LinkedIn activity directly into leads, clients, or sales will get immediate value.

👉 Use the prompt + check out my example output here

Clear Ask:
Create a monetization‑first LinkedIn growth playbook that automates post creation, engagement, and outreach for [target audience].

Context & Purpose:
I want a step‑by‑step guide that turns LinkedIn activity into leads and revenue by leveraging AI and automation tools, while being clear enough for immediate implementation.

Inputs You Provide:
• Target Audience
• Tone & Style (conversational, professional, etc.)
• Desired Length or Format (steps, SOP, checklist)
• Monetization Goal (leads, sales calls, product sales)
• Automation Level (manual, hybrid, or fully automated)
• Key Tools to Include (ChatGPT, Zapier, etc.)

Instructions for ChatGPT:
• Structure as a step‑by‑step playbook with headings and numbered steps
• Recommend tools and workflows for creating posts, engaging with prospects, and converting activity into revenue
• Include sample prompts or examples for clarity
• End with a Quick Start Checklist for immediate implementation
• Keep it concise, polished, and monetization‑focused

Perfect Output:
A professional, ready‑to‑use LinkedIn growth playbook with clear workflows, tool recommendations, and a final checklist for rapid execution and revenue generation.

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^{AI SPOTLIGHT}
Watch: Figure AI’s Humanoid Robot Can Now Do Your Laundry

Figure AI just dropped a jaw‑dropping demo: its humanoid robot, Figure 02, is now doing laundry—grabbing clothes from a basket and loading them into a washing machine—without human control. While it doesn’t press the start button yet, this is a major leap for autonomous household robotics.

• Why it matters: This is one of the first humanoid robots to handle real‑world chores with full autonomy.

• Tech behind the magic: Figure’s Helix Vision‑Language‑Action model lets the robot “see,” understand, and manipulate objects in unstructured environments.

• Big picture: Humanoid robots are moving from cool demos to practical home helpers, showing us a future where physical AI handles tedious tasks.

My Take: Seeing a robot casually load laundry feels like a sci‑fi moment becoming reality. We’re not far from a world where “doing chores” is optional—and that’s going to change how we think about time and productivity.

👉️ Read the full article here

^{AI QUICK HITS}

🤖 Anscer Robotics’ new LBR500 autonomous mobile robot automates cart and material movement in tight factory spaces, helping manufacturers boost efficiency without the need for bulky forklifts (read more).

🧠 OpenAI just raised $8.3 billion as ChatGPT business users hit 5 million, reflecting surging investor demand in the AI race (full story).

🔤 Google has begun rolling out Gemini 2.5’s “Deep Think” mode to AI Ultra subscribers, giving the model more “thinking time” to tackle complex coding, scientific, and problem‑solving tasks with longer, more creative responses (read more).

^{AI MARKET PULSE}
AI Agent Beats Goldman Analysts 89% of Time - Raises $33M

Fundamental Research Labs raised $33 million after their AI agent "Shortcut" beat McKinsey and Goldman Sachs first-year analysts 89.1% of the time (220:27 record) when blindly judged by managers. The company is already charging users and generating revenue from AI agents that work as "junior analysts" performing autonomous financial modeling and analysis. With Stripe CEO Patrick Collison investing and Prosus leading the round, major players are betting AI agents will replace high-paid professional services across multiple verticals.

Why this matters for your income: AI agents outperforming $200K+ analysts proves the technology is ready for widespread deployment across industries. Entrepreneurs can build specialized AI agents for accounting firms, consulting companies, law practices, and research organizations desperate to cut costs while improving output quality. Smart operators are launching AI agent development services, focusing on industry-specific implementations rather than general solutions. The window is wide open as most businesses don't understand how to deploy agents effectively yet.

Key Takeaways:

• AI agents proven superior to expensive talent: Beating top-tier analysts shows immediate replacement potential across professional services industries

• Revenue-generating market exists now: Companies already paying for AI agents proves demand for specialized implementations across verticals

• Massive deployment opportunity: Most businesses need help building and deploying AI agents, creating premium consulting and development opportunities

👉️ 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—67% were wrong!

Did you vote in the poll from August 1st? 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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