Five years ago, running several online businesses at once meant hiring a team — a writer, a designer, a VA, someone to wrestle the spreadsheets. In 2026, one person with the right AI stack can do the work of all of them. I’m not talking about some magic app that runs everything on autopilot; I’m talking about a small set of tools that each handle one job brilliantly and hand off to the next. Here’s the exact stack I use, layer by layer, and how the pieces fit together.
Layer 1: A thinking partner for strategy and writing
The foundation of my whole stack is a strong general AI assistant — Claude or ChatGPT — that I treat less like a search engine and more like a chief of staff. This is where I plan launches, draft product listings, write blog posts, reply to customers, and pressure-test ideas before I commit money to them. The skill that makes it pay off isn’t typing better prompts; it’s giving it context. I keep a running brief on each business and paste it in so the answers are specific to me.
Layer 2: Visuals without a designer
Every business needs images — thumbnails, product mockups, ad creative, social graphics. I use a generative image tool (Midjourney, DALL·E, or the image features built into the big assistants) for raw visuals, and a simple template editor like Canva to add text and brand polish on top. The combination matters: AI gives you something original in seconds, and the template tool makes it consistent and on-brand across platforms. What used to be a £200 design job and a two-day wait is now ten minutes.
Layer 3: The glue that connects everything
This is the layer most people skip, and it’s the one that actually buys back your time. Automation platforms like Make or Zapier sit between your apps and move information around while you sleep — a new order triggers a thank-you email, a published blog post fires out to your social channels, a form submission lands in your CRM. You don’t need to code. You describe the trigger and the action, and AI inside these tools can even build the scenario for you. One well-built automation can replace an hour of daily admin.
Layer 4: Research and data on tap
Before I launch a product or write a piece of content, I want to know what’s already working. AI handles the grunt work of research — summarising competitor listings, pulling out review patterns, spotting gaps in a niche, turning a messy spreadsheet of sales data into a plain-English readout. The key is to ask for decisions, not just summaries.
Layer 5: A second brain to hold it all
Running multiple ventures means a constant stream of ideas, notes, and half-finished plans. I keep one searchable home for all of it — a notes app I feed everything into — and let AI organise and recall it on demand. This stops good ideas from leaking away and means I never start any task from a blank page. If you want the full setup, I wrote about it in detail in how to build a second brain with AI.
How to actually build your stack
Don’t try to assemble all five layers at once — that’s how people burn a weekend and quit. Start with Layer 1 and use a single AI assistant for everything for two weeks until it feels natural. Then add the layer that fixes your biggest bottleneck: drowning in admin? Add automation. Spending too long on graphics? Add the visual layer. The goal isn’t to collect tools; it’s to remove yourself from the repetitive work so you can focus on the few things only you can do. That’s how one person runs what used to take a whole team — not by working more, but by building a stack that works when you’re not.