Hey folks. Day 5 of the intro course coincided with my partner wanting a website built for her new venture! I love it when the ducks line up in a row like that. I got some cool interactive components in there #AISChallenge

I’m getting tired of seeing AI automation presented like an easy-money shortcut. Buy n8n, connect ChatGPT, write a few prompts, and suddenly you’ve built a professional automation system. That’s simply not how real business automation works. Before building anything, you need to understand the business itself: who the customer is, how leads move through the company, what decisions need to happen, what data the AI can access, when the AI should act, and when it should stop and involve a human. Then comes building, testing, fixing edge cases, monitoring mistakes and continuously improving the system. AI can make work faster, but it doesn’t remove the process behind good work. Anything valuable takes time to build properly. A reliable AI agent is no different. If that agent is talking to your customers or operating inside your business, one bad decision can damage more than it saves. So yes, automation can save companies enormous time. But creating automation that a real business can actually trust requires skill, effort, testing and patience. What part of building AI systems do you think people underestimate the most?

I built a workflow once that I genuinely showed people. Multiple branches, error handling, retries, the lot. It was the best thing I had made. I used it maybe four times. The one that actually changed my week was three nodes long and took twenty minutes to put together. It does one boring thing on a schedule and has never needed a single fix. That gap bothered me for a while, and I think the reason is simple: the impressive build solved a problem I found interesting. The boring one solved a problem I actually had. Those are not the same thing, and it is very easy to spend a weekend on the first one. Now I try to ask before building: is this interesting, or is this in my way? What I watch for now is the moment I start enjoying the building more than I want the result. That feeling is not a bad thing on its own. It is just a reliable sign that I am about to spend a weekend on something I will use twice. Which of your builds gets used most? And is it the one you would show off? 👇

I looked through the documentation, independent evaluations, and developer reports for Sonnet 5.5 and Opus 5.5. I’d start with Sonnet for a small feature, a script, or a bug I can reproduce. I’d reach for Opus when I’m still trying to understand what’s broken or when a change could affect several parts of a system. Sonnet’s lower token price doesn’t always mean a cheaper task, especially at Max effort. For those using both, what’s a task where Opus was clearly worth the extra cost? Also , Does paying more save time fixing the result? I wrote up the findings here: https://dev.to/aditi_gupta_8d81622a592aa/claude-opus-55-explained-coding-cost-and-what-developers-need-to-change-5162

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊