
Martyna Sroka-Lalewicz (ᐛ )🇵🇱 🇬🇧
10K posts

Martyna Sroka-Lalewicz (ᐛ )🇵🇱 🇬🇧
@miss_SEO
#SEOgirl 🧙♀️& #MoneySavingGirl & #MotorcycleGirl 🏍️ specialising in #SEO #ukblogger #pblogger #personalfinance #money #ukmoneybloggers 😊







Local LLMs are cool as hell, but they still have one big flaw. When you close the chat, it forgets everything. No memory of your life, your health, your cars, your Bitcoin setup.. nothing. That's why the hosted ones feel smarter. They save all your chats on their servers so they remember you. The missing piece is building real long-term personal memory for local models. Im honestly surprised this hasnt been solved yet. It feels so obvious now.








Claude just gave one person the ability to replace an entire team. Here is how someone will use this to make $1,000,000 in 2026: Roughly 95% of organizations say data-driven insights are critical to their business. But 60% of them are still running everything through Excel spreadsheets. And 68% of the data they do have goes completely unused. The reason is simple: the tools are expensive and the people who run them are more expensive. Tableau charges $42 to $75 per user per month. Looker can run $60,000 a year or more. Sisense runs $35,000 to $60,000. Power BI is cheaper, but you still need someone who knows how to build in it. A full-time data analyst costs $71,000 to $119,000 a year. A data engineer averages $132,000. And most small businesses and e-commerce sellers need both the tool and the person, so they end up with neither. Claude just eliminated both problems for $20 a month. Live artifacts are persistent data systems that connect to your apps and files and refresh with current data every time you open them. You build them once by talking to Claude. They save with version history. Come back tomorrow or next month and everything is updated. That means one person can now walk into any business, Amazon seller, Shopify store, agency, or local service company and build them a live data operation in an afternoon. You can add AI search visibility as a data layer inside the system you already built. Audit their presence using SEO Stuff (it's free): seo-stuff.com/free-audit Inventory tracking that updates itself. Margin analysis that refreshes when you open it. Competitor pricing monitors. Sales performance trackers. Client reporting dashboards. Financial summaries. All persistent. All live. All running on a $20 a month subscription. Here is the play: Step 1: Set up live data systems for e-commerce sellers and small businesses. There are 1.9 million active Amazon sellers and over 5.5 million Shopify stores. Most of them are doing real revenue and tracking their entire business in spreadsheets. They are paying $50 to $150 a month for tools like Jungle Scout and Helium 10 that only cover a fraction of what they need. Build them a complete operations system that tracks everything in one place: inventory, margins, competitor pricing, ad performance, review monitoring. Charge $2,000 to $5,000 to set it up and $500 to $1,500 a month to maintain and expand it. Your cost to deliver is $20 a month and your time. Step 2: (This is where the real money is.) Every business you build a data system for has a blind spot: they have no idea what AI search is saying about them. When a customer asks ChatGPT "best wireless headphones under $100" or Google AI Mode "best HVAC company in Dallas," which businesses get recommended? Most of your clients have never checked. They are spending money on ads and inventory and logistics and completely ignoring the channel where customers are increasingly making buying decisions. Add AI search visibility as a data layer inside the system you already built. Audit their presence using SEO Stuff (it's free): seo-stuff.com/free-audit Show them what every major AI system currently returns when a customer searches for their product or service. Show them which competitors are showing up. Show them the gaps. Then build that data feed into their live dashboard so they can see it update in real time, right next to their sales numbers and inventory levels. The data system is the door opener. The AI search visibility layer is what makes it indispensable. Clients do not cancel a system that shows them exactly where their customers are finding them and where they are losing to competitors. Step 3: At 30 clients paying $3,000 a month for a complete data operation with AI search monitoring, you are at $90,000 a month. That is over $1,000,000 a year. The business intelligence market is worth $38 billion and growing to $108 billion by 2035. The data analytics consulting market alone is $10.5 billion and growing 8% a year. And 60% of businesses are still running their data through spreadsheets. Anthropic just gave everyone the ability to build data operations that refresh themselves. The question is whether you know which data actually matters. That is the gap SEO Stuff (seo-stuff.com) was built to close. It feeds the one data layer most businesses are completely blind to: what AI is telling their customers about them. The tools are here. The playbook is above. Someone is going to run this in the next six months and it is going to work.














