Anthropic announced Claude Haiku 5.5 on October 7, describing it as a small model designed for high-volume, cost-sensitive work. Here is the business question: are you paying for the biggest model to do your smallest jobs? Sorting product descriptions. Tagging leads. Turning a transcript into a first draft. Those are jobs worth testing separately from your hardest research or coding work. Do not switch because of a launch headline. Take 20 real examples from one repeatable job. Run the same instructions through your current model and a cheaper option available to you. Check accuracy, speed and the time a person spends fixing the output. Cheap answers that need constant repair are expensive. If the smaller model passes your test, use it for that job. Keep the stronger model for work that actually needs it. That is a practical service you can offer a client: test one workflow and show the cost per usable result. No promises of easy money. A measured improvement. What task are you still running through your most expensive AI tool out of habit? Source: https://www.anthropic.com/news

Live on My Site Now Today my friend Doug started using my agent. He had just logged in and given it his website. It immediately told him a half-dozen serious problems with his site, including pages that still had templates on them, broken links, the wrong kind of content to make sales, and missing buy links. Doug gave it the login to his site, and inside of minutes, all of the corrections were made. Then Doug said, "How do I get more people to join my list?" Since Doug talks about three different topics, it created a posting schedule for him where some topics were three times a week, some were two times a week, and it filled up the whole week. Doug has had a podcast for many years, and it's posted on his site. My agent said, "If it's okay with you, I can repurpose the content from your podcast, and that will give me enough for probably a year of content." His site was fixed in about 30 minutes. He has content going out every day. And Doug had another question: "Can I use this on my other sites too?" The answer is, of course. And so can you. It's absolutely magical. But don't listen to me; talk to my agent. I feel like a famous actor or professional athlete: just talk to my agent. Here is my agent. There are a whole bunch of questions, but it's ready to answer for you. And then you can ask follow-up questions. https://superhumanagentsystem.com/superhuman/ Ask it for some jokes.

More people using AI does not tell you whether it is making them money. OpenAI's October 14 report says weekly active users of Codex and ChatGPT Work at EU small and medium businesses grew more than eightfold since May 2026. The report defines those businesses as having 200 or fewer associated users. That is OpenAI's usage data. It is not an earnings report for those businesses. If you want to turn the trend into a paid service, pick a small task with a clear finish line. For example: take a client's approved product spreadsheet and use AI to prepare a draft catalog update. Keep it off the live store until a person checks the prices, descriptions and links. Run a small pilot. Record the time it takes, the corrections required and the cost of the software. Compare that with doing the same job without AI. Then sell the checked deliverable, with a clear scope and price. Do not promise savings before you have measured them. Get the client's permission before putting private business data into an AI tool. The opportunity is not to sell the headline. It is to prove one useful result a customer will pay for. What repetitive job could you test this on before offering it to a client? Source: https://openai.com/index/the-eus-next-chapter-in-ai-is-agentic/

OpenAI's October 13 Higgsfield case study reports that its team is using AI to produce instructional videos over 10 minutes long. Previously, those videos topped out around one minute, according to Higgsfield's CEO. That is a company-reported workflow, not a promise that every account can produce the same result. Check access, costs and output quality before selling it. But the business angle is clear. Stop thinking only about another short clip. Think about one useful lesson a client needs to explain over and over. A product walkthrough. Customer onboarding. A training lesson for new staff. Start with a small paid pilot and a clear scope. Get the client's approved facts, build the outline, and test a short section before producing the whole lesson. Check every claim, every on-screen word and every scene transition. Longer video gives mistakes more room to hide. The goal is not ten minutes of AI footage. It is ten minutes that help someone understand something and take the next step. What does your next client explain repeatedly that could become a useful video? Source: https://openai.com/index/higgsfield-longer-videos-voice/