Why Most AI Tools Fail (And What to Do Instead)

Every week, a new AI tool launches — and most vanish quietly. Why? Because they’re demos, not products. Common reasons they fail:\n - No clear problem being solved - Poor onboarding or UX - Overpromising GPT’s capabilities\n If you’re building with AI, focus on *outcomes*, not models. Make the value obvious and fast. Use AI to enhance workflows, not replace entire jobs. Winning tools feel like magic — not because of the AI, but because they remove friction.