... plus how it was proven. Both are live now in a widening list of regions, and the default engineering reflex is wrong for both. There's a new field arriving in mobile apps this year and almost nobody is treating it as a product decision. It's the user's age, handed to you by the store instead of asked for in your onboarding. Here are the dates, from the platforms' own developer docs rather than the coverage. Apple says ... ... checked, with guardian equivalents for each. There's also a signal for whether regulatory requirements apply to this user at all, and whether they're required to share. So age arrives with a provenance attached. And I'd bet almost

... spent weeks building an iOS app and got to the point where it's almost ready to launch. What surprised me is that I'm now spending more time thinking about distribution, pricing, and getting the first users than writing code. For those who've launched mobile or Mac apps: What was the biggest surprise after launch? What would you do differently if you were starting over? I'm hoping this discussion can help first-time makers avoid common mistakes ...

... prompt engineering wizard). The Problem: People are getting frustrated with LLMs giving them robotic "walls of text" because their prompts are too vague. But manually typing out <role> tags or Markdown headers every time is tedious. Furthermore, almost every "prompt generator" out there is a paid, black-box wrapper that logs your data. The Solution: A transparent, 100% free, local-first wizard that forces you to use the RTF framework and automatically formats the syntax for Claude ... ... that's a very important distinction. That could also explain why you're attracting more men, who are looking for a real solution vs

... incredibly good, I d even say almost perfect. And for many people, that uniformity of perfect templates is starting to feel annoying. For example, a few days ago, someone publicly showed that they built Anti-Grammarly a tool that intentionally adds mistakes to text instead of removing them (to make it feel more human). But the tool itself is AI, so it s a bit contradictory. 1) When we re so flooded with AI-generated content, do you have ... ... text. Even the general structure doesn't tell you much, at least for articles where humans were pushed into the same handful of SEO-friendly templates before generative AI became widespread. Comment from Fabrizio Pfannl(@fabriziowexare): Honest answer: AI-vs