Dwight Gelowitz

531 posts

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Dwight Gelowitz

Dwight Gelowitz

@dwightgelowitz

AI sales automation | Podcast Grow Gears | TooCool Marketing. Helping brands with tech, stories, & cigars.

Calgary, AB, Canada 가입일 Mart 2009
566 팔로잉120 팔로워
Rise Of Alberta
Rise Of Alberta@RiseOfAlberta·
Joe Rogan asked about Alberta separating. Pierre answered for Canada, not for Alberta. They are not going to fix equalization. They are not going to fix representation. They are not going to fix the system. That is why this province needs independence.
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Pierre-Eliott Lallemant
Pierre-Eliott Lallemant@pierreeliottlal·
Claude Cowork just KILLED manual outreach. I used to grind for hours on LinkedIn. Now? My AI stack does it better. - No "Hey {{first_name}}" spam - Natural, multi-step conversations - 12+ hours saved this week The result: 500+ conversations with human-level reply rates. I packaged the entire system (prompts + workflow) into a FREE doc. Want it? Repost (so others see it) Comment "CLAUDE" & I'll DM you.
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Manu Sisti
Manu Sisti@Manu_Sisti·
I make $50k/month selling eBooks on Amazon. If I lost everything and had to start from zero tomorrow... Here are 4 things I’d do very differently: 1/ I wouldn’t write a single word. My job isn’t typing, it’s building systems. AI can handle the content. I focus on strategy and scale. 2/ I wouldn’t obsess over volume. More books ≠ more money. 20% of titles print 80% of profits. I’d double down on winners instead of playing publishing roulette. 3/ I wouldn’t obsess over “growing an audience” first. Amazon is the audience. Millions of buyers are already searching... why spend months trying to “build attention” when distribution is built in? 4/ I’d never go solo again. Going alone slowed me down. The right guidance and the right room collapse years into weeks. That’s why I’m doing this: I’m giving access to my personal eBook publishing strategies, where you’ll learn how to build a $100K/yr eBook business in 14 days... step-by-step. Value: $79 Today: Free. Like and comment “Start” I’ll DM you the link. (And make sure to follow, or I can’t send it.)
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God of Prompt
God of Prompt@godofprompt·
Claude is the smartest AI right now. But 90% of people prompt it like ChatGPT. That's why I made the Claude Mastery Guide: → How Claude thinks differently → Prompts built for Claude → Workflows that use its strengths Comment "Claude" and I'll DM it free.
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Become Viral | Faceless YouTube Experts
I recorded a 1 hour video revealing why you're not getting views on YouTube I literally explain each one, why it works, and how to approach it Comment "VIEWS" and I'll send it to you for free (must follow so I can DM)
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Stijn Feijen
Stijn Feijen@spwfeijen·
Google’s new Nano Banana Pro is F*cking crazy! I gave it one product photo... and it generated agency-level ads in under 2 minutes. No editor. No capcut. No $10k/month creative retainers. Then I combined it with my custom GPT pipeline — and suddenly my ads started looking like top 1% DTC brands… for $0. Honestly, it feels like something Google released by mistake. It’s almost unreal. Should I drop it? Comment "NANO" and I'll send it (must be following)
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Sarvesh Shrivastava
Sarvesh Shrivastava@bloggersarvesh·
THE END OF PAID SEO AUDITS SEO agencies charge $3k for a simple local SEO audit. This FREE tool just made them obsolete. Enter your business → see what’s blocking you from $100K/month. Comment "END" and I'll DM you the tool (must be following)
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Nozz
Nozz@NoahEpstein_·
been testing this for 3 weeks and i'm convinced manual workflow building is dead found an app that takes plain english and spits out working n8n workflows not half-working. not "needs fixing." actually functional. the thing that would take me 6-8 hours to wire up? done in under 5 minutes. but here's where it gets stupid: → use it on their site OR plug it into cursor/claude via MCP → imports directly into your n8n instance (no copy-paste nonsense) → researches external docs to perfect every node and HTTP request → walks you through API setup step by step → tests itself before you even touch it i run it through cursor and this thing is a weapon. described "build me a lead qualification system that scores prospects, routes hot leads to slack, and logs everything to airtable" 3 minutes later it existed. tested. working. imported. the consultants charging $15K for "custom automation implementations" are about to have a very bad year. because now anyone who can describe a problem can build the solution. no nodes. no debugging. no stack overflow rabbit holes. just plain english → working automation that already tested itself. the intelligence gap that made me rich is about to close. figured i'd tell you before it does. comment "BUILD" and i'll send you the link (warning: this will ruin manual workflow building forever)
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Tommi Pedruzzi
Tommi Pedruzzi@TommiPedruzzi·
I'm not a writer. But I made $39,000 in 29 days selling eBooks on Amazon If you can use ChatGPT and have 1 hour every day. This is how you can make at least $2000 in the first week of 2026 👇 1. Find an unsexy, but urgent problem. Your eBook will be solving that problem. Use Google trends, Reddit, ChatGPT to find urgent problems people are currently struggling with. e.g: "How to stop your husband from snoring at night" 2. Leverage AI. You're not in a writinng business; you're in a publishing business. Use ChatGPT, and prompt it to create an 8 to 10 chapters outline for your problem. 3. Switch to Claude AI. Submit the 10-chapter outline into Claude AI and prompt it to write a 100–150 page eBook. Your first draft is now complete. (Check the end of the post to get the bonus). 4. Polishing Take your draft and put it into Grammarly to check spelling mistakes and language. Then, use the Hemingway editor to remove unnecessary redundancy and optimize it for 7th-grade readers. 5. Design covers. Use Canva + Ideogram to design attractive covers for your eBook. Make sure it's attractive, or it won't get picked on Amazon. 6. List on Amazon KDP Amazon has a database of 200 million readers. Leverage it. 7. Ranking hack Get the first few reviews for your eBook from Facebook groups, this will help rank higher on Amazon. That's it. Using this method you can easily create one eBook a day. Publish 3–5, analyze the performance, and scale the ones that perform best. You can do all of this for almost $0. But it gets better, and you’ll see faster results if you invest $500–$1,500 in tools, freelancers, and ads. If you want to know how: • You can find the right topics for your eBooks • Prompts to outline and write your eBooks • Tools, and advertising strategy Plus, a sure-shot strategy to reach $2,000 in January 2026. Like this post + comment "System" I’ll send you my personal eBook publishing system for free. (Make sure to comment so I can DM you the link)
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Tom
Tom@tomcrawshaw01·
Drop one file into Claude. Describe any image in plain English. Get back a prompt that works in Nano Banana on the first generation. That's what this Claude Project does. No more typing "product shot, white background, 4k, cinematic" and praying the AI understands what you actually meant. That keyword approach is called "tag soup" and it's why most AI images come out generic or completely wrong. The best image prompts read like you're briefing a creative director. Full sentences. Specific textures. Context about what the image is actually for. Problem is, writing prompts like that takes skill most people don't have. So I packaged everything into two files you can drop straight into a Claude Project: 1. System Instruction MD Tells Claude exactly how to behave as your prompt engineer. It asks the right clarifying questions, structures prompts properly, and writes like a creative director instead of a robot. 2. Image Prompting Guide MD A complete reference covering text rendering, character consistency, editing prompts, 2D to 3D translation, and the exact structure pros use. Load both files. Describe what you're picturing. Claude writes the prompt. Nano Banana nails the image. Stop re-rolling, stop wasting credits. Start getting what you actually pictured on the first try. Comment "BANANA" and I'll DM you both files (must be following)
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Kirk Lubimov
Kirk Lubimov@KirkLubimov·
Canada's Prime Minister Mark Carney wants data centers to be carbon neutral 🤦🏼 "I'd suggest that we can catalyze enormous private sector demand for these (carbon) credits, by committing AI data center development to be carbon neutral. We need a price on carbon." Do you understand how braindead you have to be to suggest to increase the price of computation?! Hundreds of billions of dollars are being invested in data centers in the US, revolutionizing the energy sector and instead of asking why is Canada not building future industries, all the idiot talks about is carbon tax.
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Dwight Gelowitz
Dwight Gelowitz@dwightgelowitz·
@Martyupnorth_2 MOU’s don’t mean shit. I have an understanding that carney and the corrupt liberals like to talk and take no action. This is just another pile of BS that ultimately will mean nothing.
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Martyupnorth®- Unacceptable Fact Checker
Apparently..... "there is an agreement, a memorandum of understanding between Alberta and Ottawa laying out a path for a bitumen pipeline to the northwest B.C. coast." This sounds like Carney has laid out his ultimatum to counter Smith's. I guess we'll see. For now, the so-called MOU is not public.
rick bell@RickBellwrites

NEW COLUMN. BIG NEWS. Go time! Danielle Smith and Mark Carney agree to a pipeline deal calgaryherald.com/opinion/column… via @calgaryherald #cdnpoli #canpoli #yyc #Alberta #ableg #abpoli #oilandgas

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Tom
Tom@tomcrawshaw01·
You can't scale n8n agents without understanding the 3-layer prompting system... Your agents might work in testing, but they break in production. They give inconsistent results. They miss edge cases. They cost you more tokens than they should. Here's why: Everyone has access to the same tools - ChatGPT, Claude, n8n. But there's a massive gap between operators who build $500 workflows and operators who land $30K-50K deals. The difference is in how you structure prompts across 3 layers. I've generated $25M+ for clients using this exact system: Layer 1 - The secret to preventing your agents from hallucinating and going off-script (most operators skip this entirely) Layer 2 - How to feed context to your AI so it actually understands what you're asking it to do (this alone cuts token costs by 40%) Layer 3 - The layer that determines whether your agents use tools correctly or break in production Most operators only focus on Layer 2 and wonder why results fall apart at scale. In this masterclass, I break down the complete framework: - Live prompting demos in n8n - Bad vs good prompt examples - How to write bulletproof system prompts - Tool descriptions that actually work - 4 advanced techniques that 10x output quality This is what separates operators still doing basic automations from those building production-ready systems that clients pay premium prices for. Follow + comment "MASTERCLASS" and I'll DM you the full video (must be following)
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Dwight Gelowitz
Dwight Gelowitz@dwightgelowitz·
@Martyupnorth_2 An invitation to separate. If you weren't leaning towards it before. Read this budget. If its not an Alberta Please Leave the Country budget, I don't know what would be.
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Yegor
Yegor@yegormethod·
"just work hard and post good content, eventually people will notice you" no mf... there are people making $40k/month that everyone assumes are at $500k because they post from Monaco with a Rolex casually visible while you're posting the same business tips from your bedroom wondering why zero people respect you this framework took someone from $30k/month invisible to $150k/month in 6 months SAME SKILLS, more AURA here's the actual difference: - bedroom entrepreneurs: make $50k, perceived at $5k, charge $500/client - Monaco entrepreneurs: make $50k, perceived at $300k, charge $5k/client gurus designed "authentic content" for POORS they just didn't expect operators to reverse-engineer status signaling better than billion-dollar brands... follow, like & comment "AURA" and i'll send the perception management playbook that makes people assume you're rich before you even speak (first 500 people only)
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Dwight Gelowitz 리트윗함
Alex Groberman
Alex Groberman@alexgroberman·
I started my X account 47 weeks ago. Easiest algorithm to crack by a country mile. Since then I’ve generated $120,000 in direct revenue, logged 10.2M impressions, and this month alone drove $20,000 to SEO Stuff. Here is my full system. Use it before the loopholes shut down. Oh, and if you want the full cheat sheet including engagement groups, DM workflows, and posting tactics just follow me + RT this + comment “X growth guide 2025” and I'll DM you. You must do all 3 to get the DM. Alright, let's start with posting routine. I post 2 to 3 times per day, 7 days per week. Morning: Proof post or strong POV tweet Afternoon: Mini-thread (3-5 tweets with screenshots or frameworks) Evening: Repost with CTA or a quick observation to spark replies If I pause for even 48 hours, reach drops noticeably. Literally my reach tanks during every vacation. What’s working best right now: Compact proof threads (3-6 tweets): Visual, outcome-oriented, actionable. Threads over 8 tweets often lose traction unless every line delivers. Multi-image posts (2-4 slides): Slide 1 = bold headline; middle slides = framework/teardown/example; slide last = CTA. Proof-first content: Dashboards, client screenshots, metrics plus your narrative. Real data with insight still outperforms pure theory. Copy-paste frameworks: Templates, prompts, SOPs your audience can use immediately. These drive bookmarks, shares and DMs. Timely commentary + receipts: When the niche or platform shifts, respond quickly with your data or take. These posts hold visibility longer. Reposting top performers: After ~2-3 weeks, re-share your best content with a fresh hook. Many of them perform again or even better. No one cares that it's a repeat. Avoid link-first posts, despite what anyone says. The platform is still deprioritizing posts that send people off-app without engaging. Engagement and dwell time inside the app matter more than ever. What’s underperforming: One-liner posts with no context or proof Long threads (>8 tweets) that meander AI-generated content with no personality or case study Recycled frameworks without showing how you executed them Engagement strategy: Reply early (within the first hour) on high-visibility posts in your niche with proof, context or counterpoints Quote tweet daily with your take or a teardown Repost your strongest replies so your broader audience sees them Use a small creator circle (5-10 peers) who engage in the first 15-30 minutes of your post Focus on comment thread depth. Posts that spark replies and follow-up comments stay visible longer. DM & conversion flow: Track who engages (likes, replies, follows) DM them something useful (template, swipe, quick framework) If they respond, open a loop: “Want the rest of this system?” If yes, send the offer (SEO Stuff, consulting, growth playbook) Lead with value and delay the pitch. Focus on retention over reach. The funnel that matters: Profile to Follow to DM to Client Optimize your profile: Bio = clear, benefit-first Pinned tweet = proof + offer Rotate pinned tweet every 2 weeks based on click-through rate and DM volume Reply meaningfully to every DM Metrics that matter: Link clicks per post New followers per post DM replies per offer Depth of comment threads and count of repeat engagers Impressions are nice, but real growth comes from clicks, replies and meaningful interaction. 30-Day X Growth Playbook: Post 2-3 times per day with at least one proof-driven post Reply to 5+ posts/day in your vertical Quote tweet 1-2 times/day with your POV Repost your best posts every 2-3 weeks DM 10+ new engagers each week with value-first outreach Track clicks, replies, conversions, and comment depth weekly Continuously test hooks, visuals and formats This account is compounding. Run this for 30 days, screenshot Day 31 results and tag me when inbound starts. And if you want my full cheat sheet including engagement groups, DM workflows and posting tactics: Follow me Repost this And comment “X growth guide 2025” You must do all three to get the DM
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Chidanand Tripathi
Chidanand Tripathi@thetripathi58·
DOULINGO COULDN'T TEACH ME FRENCH IN 2.5 YEARS ChatGPT did it in just 4 weeks. Here's the exact 9 Prompts I used:
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