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Hot take: when people say “we can tell you used AI,” they’re usually not reacting to the AI.
They’re reacting to the lack of creative judgment behind it.
I read a post today that explained this sooo well. It basically called out what designers have always been able to tell when someone was using a tool without understanding the craft behind it. That's not new to AI.
You could tell with bad PowerPoints.
You could tell with overdesigned Canva graphics.
You could tell with random stock-photo branding.
AI just lowered the barrier to execution even more, which means taste and direction matter even more now.
Because the difference was never the tool. It was the eye behind it.
Is “taste” becoming the new technical skill?
Love this point of view and I completely agree! I was just having a conversation yesterday about this. How the skill (development, design...) is like a muscle you need to exercise, and with AI the real difference will be who still exercised the muscle and got accurate and deep results and who didn't.
You could tell with shabby WordPress.
Indeed. You can look at furniture and see that nails and hammer has been used, or not, or you couldn't care less as long as its a good peace of furniture. :)
that is true. Taste is what makes a great artist stand out especially right now, the creative space has become very mediocre and oversaturated and now with AI I believe it will weed out all of that. Taste has always been on of the components of a great artist/storyteller its...
Love this
Regardless of why they can tell, I’m starting to feel the negative impact of that assessment, can be devastating to a brand.
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AI demos are easy.
Production AI is where engineering begins.
Anyone can connect an LLM API and make something that looks impressive in a demo.
But real businesses need systems that survive messy users, bad inputs, edge cases, and scale.
Production AI means:
✅ Grounded retrieval (RAG)
✅ Reliable tool/API execution
✅ Structured outputs
✅ Agent workflows with business logic
✅ Monitoring, evals, and feedback loops
✅ Infrastructure that scales in production
The difference between an AI demo and an AI product?
Architecture.
That’s where most “AI startups” break.
I build AI systems that go beyond prompt wrappers — production-ready LLM agents, RAG pipelines, and full-stack AI products.
If you're building something real, build it like software.
#AIEngineering #LLMAgents #RAG #GenerativeAI #LangChain #LangGraph #OpenAI #ClaudeAI #Python #FastAPI #AWS #VectorDatabase #AIProduct #SaaS #ArtificialIntelligence #Contra #FreelanceDeveloper #AIConsultant
The real challenge starts when real users use it.💯
Beautiful things grow where they're not supposed to. 🌿🏚️ Same prompt. ChatGPT vs Leonardo. Completely different worlds. Which AI actually felt the vibe? Left or Right? 👇
3 voted
50%
3 voted
50%
6 votes
Closed
I love ChatGPT, so clean
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