Hi everyone! I am excited to show you what I managed to make with Claude now that i am learning how to use it. FOR A LITTLE CONTEXT: I'm a social media and content strategist, and I have a bad habit of saving ideas I never actually organize or develop. Too many notes apps, too many emails I send to myself but never opened or organized and too many notebooks I carry around with ideas that i probably won't go through. So I built something to fix that. What I built: One tap on my iPhone → I type the idea, format, and emotional outcome → email sends automatically. From there: - Make.com catches it, fetches my script library, and checks existing ideas - Claude writes 5 angles + a full production script + a priority score + flags related ideas - Everything lands in my Google Sheet, organized and ready for content writing day The workflow behind it: My writing day is Monday. From Tuesday to Sunday, I capture ideas as they come. By Monday, I have a full list waiting for me — each one already with a script, angles, and a priority score. No overthinking, no starting from scratch. Tools used - Make.com - Shortcuts app (iPhone) - Claude + Google Sheets + Google docs Why this works: - No Ideas get lost. I have a designated place to go Monday mornings, AKA Script day. - No formatting friction. - I am not starting from scratch, which leads momentum on writing days - and no more overthinking - The priority score helps me define what's worth working on first. - It keeps my content consistent: with the script library, tone and guidelines, that first draft doesn't feel like was made by ChatGPT from 2023😂 It is worth mentioning this is content for my account and I want to polish this to be able to set something like this for my clients content banks.

Hey I'm working in Antigravity and using Claude Code and hitting my limits daily. How do you handle hitting the limit? Do you have a workaround to deal with it? Certain tasks handled by other LLM? Complete switch after the limit is hit? What LLM do you switch to? I'm a bit nervous to use another LLM... afraid of the quality of the work it will do. A lot of questions in one post. 🤯 Please share your thoughts.

I'm about to start recording videos about my software development workflow. I keep telling people about it but i realized after a meeting today about setting up a local vibe coding competition that i should just pump out a program or two on a live stream and then figure out how to edit it down into actual educational videos(I am NOT a teacher). The question i have is would anyone be interested in knowing about when I'm going to be on so they can sit in on the process? This is not going to be an ongoing thing. Just making a few videos to show how I do things.

Alright, I need to run something by you all. Jake and I have been talking about building something bigger. Not just more content. Something structured. Something with real accountability. Something for anyone who wants to actually build with AI, whether you joined this community yesterday or you've been here from the start. Here's what we're considering: The Lyceum — the original Lyceum was started in ancient Greece and known as the first school of Aristotle. Ours is a 12-week program with live instruction from Jake and other AI instructors from Eduba. Small cohorts. Real projects. You'd be building something from week one, not just watching tutorials. We're thinking three different tracks: - Technical — for developers, engineers, people building tools and systems - Business — for ops people, managers, founders, consultants who need to direct AI work without necessarily writing code - Creator — for content creators, marketers, educators, solo operators building their own production systems Same core methodology across all three. Different emphasis based on what you're actually trying to do. And here's where it gets interesting. We're thinking about making it a competition. A grand champion who gets a $100K build from Eduba. First, second, third place for each cohort. Demo day at the end where people present what they built. We'd also be issuing Eduba's first-ever certification. Something backed by the same methodology we've used to train Fortune 500 teams. This is still in the planning phase. We haven't finalized everything yet. But before we lock it in, I want to hear from you. Does this sound like something you'd actually want? Drop a comment. Tell me what excites you. Tell me what concerns you. Ask questions. If there's something you'd want to see included, let me know. More details coming soon! Eduba Case Studies: https://services.eduba.io/#cases

Sam Altman said something at the BlackRock Infrastructure Summit this week that crystallized a lot of my thinking. "We see a future where intelligence is a utility like electricity or water and people buy it from us on a meter." I've been saying a version of this for nearly a year. My one-liner in conversations: "We don't buy tools from the electricity company." We buy refrigerators from Samsung. TVs from LG. Light bulbs from Philips. Electricity just powers them. AI tokens are heading the same direction. The model providers (OpenAI, Anthropic, Google) will sell the raw intelligence. Everyone else builds specific tools that consume those tokens for specific jobs. Voice generation tools. Code review tools. Customer support automation. Research tools. Analytics platforms. Each one tailored to a workflow, a user, a problem. The model providers become the power grid. Everyone else builds the appliances. I'm not theorizing. I'm living this right now. I'm building 5+ AI-native products and services as a solo founder. One person. No team, no employees. A decade ago I tried something similar and failed badly. The infrastructure didn't exist. You needed teams of engineers and real capital to build anything meaningful. Today the infrastructure is here. One person can ship real products in weeks that would have taken months with a full team. People keep asking me "is AI a bubble?" I push back every time. I'm in it every day, building in the trenches. This doesn't feel like a bubble. It feels like a utility going live. For the automation builders here: how are you thinking about this shift? Are you building tools on top of AI APIs? And does the "utility" framing change how you think about your product's long-term defensibility?