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Are We Calling Everything “AI” Too Easily? Lately, I’ve been noticing a trend about how casually the term AI is used. Not every tool with automation is AI. Not every chatbot is “intelligent.” Excel formulas = “AI-powered dashboards” If-else logic =

"Your AI tool doesn’t need to be groundbreaking—it needs to be useful. Focus on solving real problems, not inventing new ones. Build simple market fast improve later. What’s one problem you’d solve with AI?

Starting my own clothing brand need your help to fix the problems and increase brand awareness Website - https://chiilwavestore.myshopify.com/ Instagram - https://www.instagram.com/chiilwaveofficial

AI that runs in slides = hype. AI that runs in production = Codestam. Real agents. Real output. Zero noise

Built an AI app for a logistics startup last week: 🚛 Smart route optimization 📦 Real-time tracking + dashboard 📈 28% faster deliveries AI isn’t hype — it’s compounding ops power. More soon.

AI is the only reason I can juggle multiple things at once. It’s not hype, it’s leverage.

AI Coding Tools: Separating Hype from Reality As AI coding tools gain popularity, critics argue that the hype surrounding them overshadows critical thinking. Despite their potential, these tools lack context, codebase size, user expertise, and effor

The real skill in using AI isn’t technical — it’s knowing how to think and ask the right questions. The chat window is just the tool.

What ai tool can help me create social media reels at ease. content will be real shoots but motion graphics help and maybe transition help a little better video quality or something that ai can help with maybe? Pls inform

🧠 Why training AI to be too perfect may be holding it back… In my latest post, I explore why designing AI agents with human-like limitations is not a weakness - it’s a superpower. FPS games might be the key to developing AI that thrives under uncer