I’ve been testing different AI tools in real business workflows, mostly for writing, research, content planning, and repetitive office tasks. One thing I noticed is that demos usually look impressive, but daily use often fails in small places: inconsistent output, lack of context, too much manual checking, or poor integration with existing workflows. For people using AI at work, what is the biggest gap you see between demo videos and real productivity?
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I've been thinking about this for a while. AI can now write functions, explain code, refactor projects, generate tests, and even solve many programming problems better than many junior developers. I've also noticed that Stack Overflow seems far less active than it used to be because many developers now ask AI instead. This made me wonder: Is learning algorithms still as important as it used to be? I'm not talking about memorizing LeetCode solutions for interviews. I mean actually spend...
A while back I almost bought a house I was in love with. The listing was gorgeous. What it didn't tell me: the "updated" roof was at end-of-life, the comps it was priced against weren't really comps, and the repair list I eventually got was going to eat my entire reno budget. I found all of that out the slow, expensive way — one surprise at a time. So I built Dwell — basically the tool I wish I'd had standing in that driveway. You paste in an address and it gives you a free read o...