Are we building for real human problems anymore, or just outsourcing intuition to AI?
The one-person AI stack has made shipping almost effortless, but I feel like our observational muscle is getting a bit rusty. In the rush to prompt LLMs for SaaS ideas, we risk building slick solutions for synthetic problems instead of paying attention to messy, real-world friction. The most defensible tools usually come from acute, unglamorous human pain points—not a prompt template.
How are you actively uncovering genuine unmet needs these days without relying on AI echo chambers? And on a personal level, what’s an annoying bottleneck in your own daily workflow right now that still lacks a grounded, simple solution?
Thanks for taking the time to read this—curious to hear how you balance rapid AI building with real-world problem discovery.