Right now, I'm learning Claude Code and picking up some new things, but I am confused about one point. ​Everyone says it will get better with time. Let's take a skill as an example: it is not perfect at the start, but others say it will get better with time. ​But how does that happen? Is there a specific prompt you need to input after each new thing to ensure the skill improves, or do you just ask Claude to do it? It's not only the skill, it includes other stuff as well. I'm confused here: how does Claude actually improve and learn?

one thing I keep noticing in AI communities — everyone talks about which tool to use, how to prompt better, which model is fastest. almost nobody talks about how to check whether the output is actually correct. ran some data through aisa.to (AI skills assessment) and found safety/verification is the weakest dimension at 45/100 across 1,000+ people assessed. the gap between 'I can get AI to generate something' and 'I can tell whether it's right' is where most people are stuck. what's your process? do you spot-check facts, ask the model to argue against itself, run a second model as a reviewer? or mostly vibes?

I've been spending time learning how different people use AI and automation in their work, and one thing keeps coming up that I find interesting. A lot of the conversation is about tools, which platform, which model, which integration, but the people who seem happiest with their results tend to talk less about the tools and more about what they decided not to automate. A few ideas I've been figuring out are like: The repetitive stuff isn't always the valuable stuff. It's actually tempting to automate whatever feels annoying, but annoying and high impact are not always the same thing, sometimes the boring task that takes 15 minutes a day matters less than the one that quietly causes errors. Time saved is easier to measure than mistakes avoided. Saving hours is great and easy to point to, but a lot of the real value might be in the things that don't go wrong anymore, which is harder to see and easier to undervalue. Starting small seems to beat starting smart. The most solid setups I've seen didn't start with a big plan, they started with one small thing that worked, then grew from there. I don't think there's one right answer here, a lot of it probably depends on the business and the person. So I'm curious how others think about it, when you decide what to automate, what's your filter? time saved? frequency? something else? Genuinely interested in how people approach this.

Hey Nate! I’m starting rn, learning about Automation agency, I want to be a founder of one of these Agency, I’m from Brazil and the market here is too low, so I have a good opportunity here, mostly because I’m a Med student, so my plan is to have a AI automation agency only for Medical clinics here, and sell to the doctors, any advice for me? I’m in the beginning of the Day 1 classroom, I don’t know nothing about n8n and automation skills, I hope to learn more and put in practice

Hi all! What you scraped: I was thinking of this project as a lead-gen idea. I positioned this as a lead generation scrape for a local service business. In this case a local cleaning biz. I went to Redfin, Zillow would have also worked, and searched real estate listings that were “pending”. This usually means there is some cleaning to do, either post-construction, or move-in/move-out type cleans. I scraped mainly contact information of the realtors associated with the properties, as well as some basic information. (I have hidden the actual contact numbers in the Screenshot for privacy reasons). The goal being to contact them regarding any help they need with cleaning or staging of the property. One thing you learned: I learned that helpful datasets are EVERYWHERE. I am now scraping Municipal Records for Construction Permits, Local Event Licenses, Sporting Events etc… All with the goal of translating those records into leads for any kind of local service biz. One use case idea: I am becoming familiar with public datasets that could help marketing for any local business. A targeted scrape could be offered as a Marketing or Lead-Gen Consultation to local businesses. Day 3 incoming!