This Ugly Little Bot Is Quietly Snatching $87,000 Back From Shopify’s Trash Bin, And Turning It Into Pure Profit. Let me tell you a nasty little truth that Shopify store owners don’t want to admit. They’re bleeding cash. Every. Single. Day. And not a trickle, I’m talking.

RT @freemonotheist: So many of us have traveled this path.

RT @Bushra1Shaikh: Veiling and hijab (modesty) is only bad and backwards when Muslim women do it though 🙄.

🚨 Make dot com just leveled up: Native OpenAI Assistant integration is live. Now your automations don’t just run, they think for you. Agents. Logic. Results. Explore what’s new → #MakeAutomation #AIWorkflows.

There’s a gold rush happening right under your nose, and most folks are too slow or too scared to pick up a damn shovel. Here’s how you grab the money before someone else does:. Step 1: The Hook.You offer a “Free Cart Audit.” Why? Because nothing gets a store owner’s heart.

Enter the CartWin AI Agent. This thing is a relentless, 24/7 cash-recovery machine. It stalks every cart abandoner like a heat-seeking missile . It sends intelligent emails, perfectly timed discounts, SMS nudges, even exit popups based on what the shopper was looking at. 👉 You.

You ever been to a Shopify store? You add something to your cart, maybe two things. Then you close the tab. Life happens. You forget. Boom, that store owner just lost a sale. Now multiply that by a few hundred visitors a day. Let me introduce you to Marcus. Marcus owns a decent

RT @elonmusk: Grok 4 is the first time, in my experience, that an AI has been able to solve difficult, real-world engineering questions whe….

Bonus: Add a Gradio UI:. import gradio as gr .def generate_response(message, history): . return "Answer: [your logic here]" .gr.ChatInterface(fn=generate_response).launch(). Now your prompt → product.

📄 PDF chunk extractor:. def extract_text_chunks(pdf_path): . # fitz + chunk logic here . return chunks. Now your document database is searchable. Queryable. Automated. Tweet 13.🔹 Step 5: Write Prompts Like You Write Clean Code. Sloppy prompt:. > “Answer with documents.”.

Step 3: Use Personas. Don’t say:. “Summarize.”. Say:. > “You’re a senior dev helping a junior understand a codebase.”. Or:. > “You’re an AI librarian classifying papers.”. Instant clarity. Way better results.

💻 Code to extract transcript:. from youtube_transcript_api import YouTubeTranscriptApi .video_id = extract_video_id(url) .transcript = YouTubeTranscriptApi.get_transcript(video_id). Now your summaries are skimmable, scannable, system-ready.

🔹 Step 2: Start With the End Format in Mind. If your output feeds another system (e.g., Notion), prompt with structure. Instead of:. “Summarize this YouTube video.”. Try:. - Title .- Speaker .- 3 bullet points .- Resources .- 3-sentence summary.

🧠 Code snippet:. response = openai.ChatCompletion.create( . model="gpt-4o-mini", . messages=[ . {"role": "system", "content": "You are a career coach."}, . {"role": "user", "content": prompt} . ] .). ✨ Pro tip: Be the architect, not the guesser.

Old prompt:. > “Here’s my resume. Here’s the job. Please adapt.”. New prompt:. Use relevant keywords .Match experiences + skills .Maintain Markdown. Result: Sharper outputs, easy automation.

🔹 Step 1: Your Prompt is a UI, Not a Request. Old mindset: “Tell ChatGPT what to do.”.New mindset: “Design prompts like interfaces.”. Would you hand vague specs to a dev?.No. So why do it with GPT?.

Prompts aren’t magic spells. They’re code. They’re specs. They’re UI/UX. Design them. Optimize them. Refactor them. Test them. A few small changes made my prompts 10x smarter. Let’s dive in.

When I started with AI, I did what most do:.I threw words at ChatGPT and hoped for something useful. Sometimes it worked. Kinda. But once I automated workflows in Python, I had a realization:.👉 Prompts are interfaces.

The 5-word fix that made my AI prompts 10x smarter. Tiny prompt tweaks. Massive automation wins. 🧵Let me show you exactly how:.

AI doesn’t care where you went to school, what you majored in, or how many LinkedIn endorsements you’ve collected. Nobody has five years of AI experience — because this whole thing barely existed five minutes ago. That’s your opening. Get in. Now.