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?

Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.

As the title mentions, i wonder what Subscriptions you guys have. Personally I have been experimenting with Kimi and Codex from CGPT, using Opencode for fixing some stuff on my websites. I must say it did pretty well but its my first time using CLI agents. It all looked like magic to me, i feel so stupid for using chat based ai models for so long but I‘m happy atleast that I‘m on the right track, like you guys too hehe

Something I've been thinking about. We have over 2,000 people in here on the writing of this post and some of you have serious expertise in areas I cant cover alone. Cybersecurity, UX, data analytics, DevOps, healthcare workflows, construction tech, fintech, you name it. I want to start bringing community members in to help create content. That could look like writing up a walkthrough of something you built, recording a short tutorial on a tool you use every day, curating resources for The Vault, or helping turn raw material into structured courses. I'll be honest about where things stand. I cant offer full paid positions right now. Can possibly do some comp here or there over the next month but I have to ask you would be volunteer to start (I will never put anything you volunteered to make behind a pay wall) But I have every intention of building a contributor model that includes revenue share or some form of compensation as the paid tiers grow and happy to get you in front of crowds as well. I don't want to make promises I cant keep yet, but I also don't want to pretend this stays free forever. The goal is to build something where the people who help create the value share in it. I can only bring on a small group at a time so I can actually work with you on quality and structure. If this sounds interesting drop a comment telling me what you'd want to contribute. Doesn't have to be polished. Just tell me what you know well enough to teach someone else. No commitment from either side. Just want to see who's out there and what you'd bring to the table.

Your product is probably invisible to a growing segment of buyers. Not because your SEO is bad. Because they're not using Google. A growing number of people search by asking ChatGPT, Gemini, or Perplexity a question. The AI gives them a ranked list. They research from there. If your product isn't in that answer, you don't exist. I realised this early and did something most founders skip entirely: I built the layer of my website that AI models can actually read and cite. Before writing a single ad or social post, I spent weeks on what I call the "AI-readable layer." Here's what that looked like: 1. llms.txt files at the site root. These are plain-text documentation files designed for AI crawlers. Not a robots.txt. A structured brief that tells AI models what your product is, what it does, who it's for, and how it compares. Think of it as a pitch deck for machines. 2. 62 blog posts before launch. Not SEO filler. Honest comparison posts, my product vs each major competitor. Use-case deep dives. Technical explainers. FAQ content written in the natural question-answer format that AI models actually cite. 3. JSON-LD structured data on every page. FAQPage schema on the homepage, feature pages, use case pages, blog posts. This is the metadata AI models parse when they build their knowledge base. 4. Dedicated pages for every use case and feature. Not just a features list on the homepage. Individual pages at /for/podcasters, /for/game-developers, /features/ voice-cloning. Each with its own structured FAQ. 5. Competitor comparison content that's fair. Not "why we're better." Honest trade-off breakdowns. AI models prefer balanced, cited content over marketing copy. When the AI ranked my product third (not first), that's actually more credible than ranking it #1. This approach has a name: GEO, Generative Engine Optimization. It's early. Most founders haven't heard of it. Most AI tool builders haven't optimised for it either, which is ironic. AI models don't read your marketing copy. They read