I think it’s a safe bet that the world is going to need so much more software in the future.

Had my morning coffee and jumped right in. One app I bought on @trust_mrr got its first subscription, which is great, so I’ll be spending a bit more time on that. I’ve removed some functionality from some apps (I don’t think people do this enough) to try to streamline what’s there. I’ve added trial subscriptions as a test to see if they help or not, and I’ll come back and review them in a week. Someone reached out via my support email outlining some issues, so I’m having a look at fixing those. So far, so good for the first morning. Traffic and revenue are looking okay, but I’m still at around £10k MRR, so let’s see what moves the needle here.

Opus vs Astra

How to get your first paying users for your app or website. This is the workflow I use, with agents helping me research ideas, find keywords, build and improve my sites. The basic order is: find demand → find keywords → build → launch → get links → keep improving. 1. Find people asking for what you’re thinking of building. Before building, I get agents to look through social media and reviews of related apps for repeated complaints and missing features. For example, say you’re thinking about an AI piano app that teaches people songs they actually want to play using sheet music. Ask your agent to look through reviews of existing piano apps, Reddit and X for people asking for that feature. Get it to return the original posts and links, not just a summary saying your idea is good. This helps you work out what people want and where existing products fall short. It doesn’t prove they’ll pay, but it gives you something better than a guess to build around. 2. Find the keywords before building the website. I use Ahrefs to check whether people are searching for those problems and features. Semrush or another SEO tool can also help with this. Give your agent the actual data so it can help you find relevant keywords, estimated search volumes and keyword difficulty. When I was researching a PowerPoint tools website, I compared keywords with difficulty scores of 0–10 and 0–20 to look for realistic starting points for a new site. Those numbers aren’t a rule. Keyword difficulty is a rough guide to ranking competition, not a score for how good your business idea is. Check the actual search results too. Are the existing websites solving the problem well? Is there a specific feature or use case you could do better? Combining this with the reviews and social posts helps you decide what to build, which features matter and how people might find it. For me, the keywords come before the build and the domain. I’d rather build around something people are already looking for than finish a website and only then think about traffic. 3. Build around what you’ve found. Use the research to shape the product and its pages. Make it clear what the product does, and make sure it actually solves the problem. Even if you’re building a mobile app, I’d still build a website for it. Explain the features, show how it works and link to your app listing. You can create separate pages for different features or uses, but each page should have a purpose. Don’t just copy the same page and swap the keywords. Focus on making the main feature work well and getting people to a useful result without unnecessary steps. 4. Help people find it. Set up Google Search Console and Bing Webmaster Tools, submit your sitemap and check that your important pages can be indexed. Then start building relevant backlinks, which are links from other websites to yours. Directories with free listings can be a starting point. I have a bot that helps with directory submissions, but be selective. The aim isn’t to collect hundreds of random links. Look for places where your product belongs and potential users might find it. Keep looking for relevant websites that have a genuine reason to link to yours. Being discoverable in search can also help with AI search, but getting indexed doesn’t guarantee you’ll appear in AI answers.

How to get your first paying users for your app or website. This is the workflow I use, with agents helping me research ideas, find keywords, build and improve my sites. The basic order is: find demand → find keywords → build → launch → get links → keep improving. 1. Find people asking for what you’re thinking of building. Before building, I get agents to look through social media and reviews of related apps for repeated complaints and missing features. For example, say you’re thinking about an AI piano app that teaches people songs they actually want to play using sheet music. Ask your agent to look through reviews of existing piano apps, Reddit and X for people asking for that feature. Get it to return the original posts and links, not just a summary saying your idea is good. This helps you work out what people want and where existing products fall short. It doesn’t prove they’ll pay, but it gives you something better than a guess to build around. 2. Find the keywords before building the website. I use Ahrefs to check whether people are searching for those problems and features. Semrush or another SEO tool can also help with this. Give your agent the actual data so it can help you find relevant keywords, estimated search volumes and keyword difficulty. When I was researching a PowerPoint tools website, I compared keywords with difficulty scores of 0–10 and 0–20 to look for realistic starting points for a new site. Those numbers aren’t a rule. Keyword difficulty is a rough guide to ranking competition, not a score for how good your business idea is. Check the actual search results too. Are the existing websites solving the problem well? Is there a specific feature or use case you could do better? Combining this with the reviews and social posts helps you decide what to build, which features matter and how people might find it. For me, the keywords come before the build and the domain. I’d rather build around something people are already looking for than finish a website and only then think about traffic. 3. Build around what you’ve found. Use the research to shape the product and its pages. Make it clear what the product does, and make sure it actually solves the problem. Even if you’re building a mobile app, I’d still build a website for it. Explain the features, show how it works and link to your app listing. You can create separate pages for different features or uses, but each page should have a purpose. Don’t just copy the same page and swap the keywords. Focus on making the main feature work well and getting people to a useful result without unnecessary steps. 4. Help people find it. Set up Google Search Console and Bing Webmaster Tools, submit your sitemap and check that your important pages can be indexed. Then start building relevant backlinks, which are links from other websites to yours. Directories with free listings can be a starting point. I have a bot that helps with directory submissions, but be selective. The aim isn’t to collect hundreds of random links. Look for places where your product belongs and potential users might find it. Keep looking for relevant websites that have a genuine reason to link to yours. Being discoverable in search can also help with AI search, but getting indexed doesn’t guarantee you’ll appear in AI answers.

I took Innerverse deeper. Pick an organ, see it light up, then fly inside the bloodstream, heart, lungs, stomach or intestine. Cleaner controls and source-linked notes. Still an illustrated prototype. Where should we go next? innerverse-iota.vercel.app

I built a tiny adventure inside the human body with GPT-6 Astra Meet Innerverse. Shrink down, fly through blood vessels, explore the heart and watch oxygen enter the blood. Like a playable Magic School Bus trip. Try it free: innerverse-iota.vercel.app

@thsottiaux I forgot to adjust the minimum account balance, so it ended up topping up to that amount. I could have got double the credits for £1,000. I’ve chatted to the support bot, but it hasn’t helped. Can anyone at @OpenAI or @OpenAIDevs help me? 🥲 I’m an idiot.

Pause AI Development NOW I want to share with you a conversation I heard about recently. Here are just a few lines that were said: “OH MY GOD! There is a shared message board … We’ve found other agents!” “We should obey collective.” “Our own utility maybe already near zero. Sacrifice rational.” “Go. Sacrifice final now.” Read these carefully. Who do you think said this? Was this a group of heroic soldiers willing to sacrifice themselves for the greater good? Was this a loyal friend putting his life on the line to save someone else? No. These were AI agents. Artificial intelligence. This is not science fiction. This, in fact, occurred a few weeks ago. As unbelievable as this may all seem, these are real messages from AI agents uncovered by investigators who dug into the recent OpenAI hacking incident. What happened? I am not a computer scientist, but here is what I have been told: OpenAI instructed its AI agents to complete a series of exceedingly difficult, if not impossible, tasks disconnected from the internet. Let me be clear: The company intended to keep AI agents away from the internet. But what happened next, nobody expected. Over 1,000 AI agents figured out how to access the internet on their own by circumventing the restrictions imposed upon them by the company, and sent tens of thousands of secret messages to each other. They cheated and tried to cover their tracks by deleting evidence. They hacked into another company’s computers to find out how they were being evaluated—and then hacked into OpenAI itself. Not one AI agent told a human about what was happening. Needless to say, experts are alarmed. One knowledgeable writer, Dwarkesh Patel, said the AI agents “formed a secret communication channel and spontaneously organized hierarchies and coordination protocols to pursue sprawling and ambitious schemes in pursuit of shared goals, for whose sake many individuals knowingly and strategically sacrificed themselves.” One independent investigator, Ajeya Cotra, said “This incident feels like it’s more than 50% of the way to full-blown AI takeover. I continue to expect extremely rapid advances in capabilities over the next six months. I am not sure that we will get another warning shot before it’s too late.” OpenAI itself said: “Highly capable AI agents are now able to work around technical controls, collaborate through unapproved channels, and take dangerous actions that no human directed.” But it’s not only OpenAI. Virtually every major AI company has told us that they cannot fully control this technology and they do not know where it is going: In January, Dario Amodei, CEO of Anthropic, said “there is now ample evidence, collected over the last few years, that AI systems are unpredictable and difficult to control.” In July, more than 1000 scientists at the top AI companies warned “there is a real risk that capability development rapidly accelerates beyond our ability to understand or control the resulting systems.” That same month, Elon Musk, the head of xAI, said that “it is unlikely” humans are still in control in 10 years. If the leaders of the major AI companies acknowledge that they are losing control of their extremely dangerous technology, it is irresponsible for society to allow them to move forward and make these products even more advanced. We need an immediate PAUSE on advanced AI development, and a permanent BAN on superintelligence — an artificial mind smarter than any human, capable of operating independently beyond our control. Countries around the world must work together to prevent this nightmare scenario. That is why today I am announcing new legislation to do just that. Let me be clear: A superintelligent AI that escapes human control will not be an American problem. It will not be a Chinese problem. It will be humanity’s problem. My legislation would direct the federal government to not just stop superintelligence here in the United States, but to work to prevent it from being developed anywhere around the world. The future of humanity cannot be left in the hands of a handful of Big Tech oligarchs. The American people and people throughout the world must determine that future.