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.

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.

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?

I would love to get some feedback on my situation/dilemmas. I had accumulated some know-how in defining and encoding the workflow, context, structure, constraints, etc., for different tasks without using tailored personas/instructions for projects within the main AI chat apps. Then I thought that most employees don't have the time or energy to dive deep and dig through layers of AI influencers, prompt packs, etc., to actually optimize their work beyond one-time conversations or simple tasks, and so I could bring some value. Went all in on finding, learning, and designing the best ways to achieve that. As Opus 4.6 and Codex 5.3 came out, I dove into the "agentic" area and its possibilities, where I feel my experience has whole new potential, as there is only so much that can be done within projects and instructions, and they allow for hardcoding some deterministic parts. That led me to realize that, in the current state, I can leverage my somewhat shallow understanding and insight into different areas, as models can compensate for my lack of technical background. So I was able to create a website with an integrated reservation system for my wife's lessons. And, at least in my opinion, it escapes the generic feel of most AI websites. So I defined some workflows and principles to achieve similar results faster for other potential clients. What I am trying to figure out are 3 things: - Whether to keep exploring more complex solutions or to focus on improving people's workflows in the everyday layer of the main apps through instructions/projects. Since I feel most people are and will continue to use them as their primary layer. - How to deliver the value in the best way, as I am not much of a salesperson and have an ick about selling courses or teaching for the sake of it. - I feel the value is there, but it is hard for me to define it clearly and position myself. And it all kind of falls under generic categories of AI workflows, consulting, specialist which are oversaturated

You just finished the setup lesson. Vote below so we know where everyone is starting from. If you picked "Something else," drop a comment and tell us what.