Landon Matthew

Scaffolding frontend layouts, Tailwind components, and basic CRUD forms through natural language prompting is remarkably smooth now.

However, once an app requires dynamic, competitive state like handling real-time bids, managing race conditions when two events trigger simultaneously, or verifying payment webhook signatures pure conversational generation starts hitting walls.

I run multi-client creative work (video, ad scripts, photography) and feedback always ends up scattered across WhatsApp, email, and Figma comments. Half the time nobody's sure which version actually got approved.
Curious how others handle this, especially freelancers and small agencies juggling several clients at once.
Is your bottleneck getting clear feedback, keeping versions straight, or something else entirely?

While I was starting distribution of my first saas, one thing which I overestimated was that the sales would happen very quickly as the product I made was good enough for it. Turns out, the product did not even had a market fit. I also ran ads with a very small budget and thought it will easily be gained within a few days, and I was very wrong here.

AI also does the same thing. If you ask it to expect some numbers based on what people experience for your saas when you distribute with some method X, it will show some very aspirational numbers. But, when ask it to be honest or practical or brutally honest for the same, it's answer changes (in some cases, significantly).