Why AI Startups Fail (It’s NOT the LLM) скачать в хорошем качестве

Why AI Startups Fail (It’s NOT the LLM)

Most AI startups don’t fail because the LLM is bad. They fail because the system around the LLM is broken. In this video, I break down why so many AI products never make it past demos — and what actually separates successful AI products from failed ones. This is not about: ❌ prompt engineering ❌ model comparisons ❌ OpenAI vs Claude vs Gemini This is about system design. You’ll learn: • Why most AI startups are just demos, not products • The difference between AI demos, AI features, and AI systems • Why LLM choice is overrated • How memory, tools, workflows, and feedback loops matter more than the model • How agentic thinking changes AI product design If you’re a:   • Developer   • Founder   • Product manager   • Or building anything with AI This video will save you months of wrong decisions. 🧠 Key Topics Covered   • Why AI startups fail   • AI system design vs LLM usage   • Agentic thinking in AI products   • Why “better models” don’t fix broken systems   • How real AI products are built 0:00 – Why AI startups fail 0:32 – It’s NOT the model 1:42 – What actually makes AI products work 2:45 – Three types of AI products 4:11 – AI systems vs demos & features 5:33 – Why model choice is overrated 6:32 – Real AI product example 7:50 – Why agentic thinking matters 8:24 – Final takeaway