
Elizabeta Kuzevska
@ekuzevska
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Certified AI-Driven B2B Marketing & Sales Enablement Marketer Who Knows How to Attract and Convert Real Buyers https://t.co/aP8PSfcuRr
United States
Joined June 2011
Your website is talking, but is AI listening? You spent years mastering SEO, but the rules just changed. AI assistants like ChatGPT, Gemini, and Perplexity are the new front page. They don't care about your keywords. They care about answers. If your website isn't structured to
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Everyone is talking about this new OpenAI paper. It's about why LLMs hallucinate. You might want to bookmark this one. Let's break down the technical details:
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Your website is talking, but is AI listening? You spent years mastering SEO, but the rules just changed. AI assistants like ChatGPT, Gemini, and Perplexity are the new front page. They don't care about your keywords. They care about answers. If your website isn't structured to
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Manus shared an article on how they manage the context of their agents. It actually includes some pretty practical point. If you’re building or using agents in any sort or form, this can be quite useful.
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the CLEAREST path to $5m ARR AI startup is something nobody talks about on X, is BORING and requires 0 venture investors. it's called a leveraged agency. & i'm gonna show you exactly how to build one. Phase 1: learn by doing ($1-5k/month) find a b2b/prosumer problem so boring
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My automation with n8n is complete! My priority? Boosting daily productivity while ensuring all my data remains secure and private. If you are a Microsoft 365 or Google Workspace business customer, it's critical that your information stays within your domain, because it isn’t
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Just built a WhatsApp AI agent that replaced an entire customer support team. Sold the setup for $2,000 + $500/mo and clients are begging for more. Here’s what it does: – Reads your company’s Google Doc (FAQs, policies, service info) – Lets customers ask anything on WhatsApp –
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Everyone's building prompt libraries. I'm building customer intelligence engines. Here's the counterintuitive approach that's generating 4x better results: The Shift: ❌ Teaching AI what to write ✅ Teaching AI how to THINK The Invisible Prompt System: 1️⃣ Layer 1: Decision
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Stop drowning in AI tools that don't deliver revenue. Here's your 5-step system to turn AI into a profit machine: 😭 The Problem: You've tried ChatGPT, Claude, Midjourney... but your bank account looks the same. 😊 The Solution: My Revenue Expert's AI Framework 1️⃣ Step 1: Pick
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the n8n automation space is full of fake gurus... they show you how to build workflows (they steal most of them) but they can't teach you how to find paying clients (because they've never found paying clients) i spent the day with a friend actually making $17K/month selling
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Docker just changed everything for Claude users. No more manual MCP setup nightmares. Here's the simple process: → Download Docker Desktop → Install MCP Toolkit extension → Toggle tools on/off instantly → Connect to Claude in seconds → Access 11Labs, Firecrawl, Perplexity
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Perplexity just dropped a game-changing N8N integration. Your AI agents can now scrape real-time data. Here's how to build your own research agent: → Upgrade to N8N beta version 1.98.1 → Create new workflow with AI agent → Add Perplexity tool from tools section → Connect
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🚀 The AI adoption gap is widening: Companies implementing AI strategically are seeing 40% lower maintenance costs, 208% revenue growth, and 24/7 customer support. The question isn't whether AI will transform your industry—it's whether you'll be among the transformers or the
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How to build AI that adapts—not AI that guesses AI is only smart if it’s trained on the right things.
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I’ve been working hands-on with GPT and Claude since their public release, testing them for real-world marketing, content, and automation use cases. Not for fun. For performance. This thread isn’t about “wow AI is cool.” It’s about how I use AI to deliver real results in
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AI workflows are fundamentally changing the nature of knowledge work. The most successful organizations will be those that redesign their operations around AI capabilities rather than simply adding AI to existing processes.
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How to engineer prompts that get exactly the results you want from AI, every single time
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How to stop guessing and start scaling with AI clarity Guessing kills growth. You need clear inputs and clear outputs.
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Even the best ideas flop without execution. Here’s how to get more out of your skill: 👇 Write down the 3 tasks you repeat weekly. Pick one tool to automate each. Spend saved time on customer insights. Create a repeatable SOP. Track performance before vs after automation.
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How to build AI workflows that save your team 20+ hours every week while improving output quality:
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