free guides, playbooks & real talk
Simplifying AI for my non-techy friends.
Showing 21 guides
I was running too many things from one chat window and my own head. So I gave myself one weekend to put my business and my life into one system with Claude: an AI brain, an org chart, an AI COO, a workflow and five skills on top. Here's the whole thing in order, with my prompts, skills and templates in one free download so you can do it too.
Everyone is showing off how many AI agents they've built and which tools they use. I've been saying all year that none of that matters without the foundation underneath, and Anthropic's own guidance points the same way. Here's the foundation my AI employees run on - the AI brain with its memory and emotional intelligence, the workflow manager and the connectors - and how to set up yours.
Everyone online is talking about AI agents, writing skills, connecting them to Claude and setting up routines. Almost no one is talking about the workflow, and that's the piece that made everything else make sense for me. Here's the strategy behind it, and my ClickUp template so you can set it up yourself.
If you run a business and feel like everyone else has worked out AI while you're still using it to tidy up emails, Claude Code is where that changes. It isn't just for developers. Here's what it is in plain English, why I use it over the chat, and the business jobs it runs for me every week.
I used to think automation meant code, APIs and a developer. It turned out to be explaining a job to Claude the way I'd brief a new assistant. Here are the seven I run every day, what each one does, and a download for each so you can set it up yourself.
I built an AI operating system with 204 AI employees, and very quickly realised it was way too much. Humans are multi-skilled, so why can't my AI be? Here's the team I actually run now, the seven I'd recommend you start with, and a free kit to install each one.
When I first mapped my AI team, I had three separate writers for my content. Now I have one Scriptwriter with five skills and an index that tells it which one to use. Here's what Anthropic says about building this way, the five skills, and the prompts to teach your own employee.
An AI-driven workflow is a job where AI doesn't just do a step, it decides where the work goes next and sees it through. Here's what that means in plain English, how one runs in my business from brain dump to published post, examples for a small business, and two prompts to map and build your own.
So you've decided to jump into Claude Code, you've opened it, and now you're looking at an empty box. This is exactly what I'd do in your first hour: build your AI brain in Obsidian, fill it with your business, map your organisation and install your AI COO, with a free kit for each step. Then the AI employees I'd install next.
The whole point of my AI system is to get shit done while I'm sleeping. These are the four AI employees that work my night shift: one that updates my AI brain, one that turns my day into content ideas, one that builds, and one that tells me what happened when I wake up. Each one is a download you drag into Claude, with the prompt that sets it up for you.
For years I was the person holding it all together for someone else. Now I run my own business and AI does that job for me, every single day. Here are the six things I get it to do, and one download your AI COO can use to install four of them for you.
Everyone is building agents and skills right now, and nobody tells you how to know when it's the right time to build one. These are the three questions I ask myself before I give AI another job, and how I've used them in my own business.
Everyone is selling AI agents, and most founders I speak to still can't get a straight answer on what one is. This is what an AI agent actually is, how it differs from an automation, what you can trust it with, and how I build one into a small business with the Incuv8or AI Framework.
A lot of people set up a routine in Claude and think they've got an AI employee. A routine is a reminder that wakes AI up at a set time. An AI employee picks up the work you give it, does it and hands it back for review. Here's the difference, the five questions that tell you which one a job needs, and the two prompts that set each one up.
I got caught up in the AI bug and built every skill and employee I could, and ended up with twenty-five skills I didn't know how to use. Now I work with one AI COO, a small team of employees and one shared library of skills, set up with the Incuv8or AI Framework. Here's how, in order, with the prompts.
All you see online are huge AI operating systems, with dashboards, dozens of agents and code, and it looks like that's the only way to have an AI team. It isn't. I run my business with the Incuv8or AI Framework: build your AI brain, map your org, build a COO, add employees only when they pass a test, hand out the work from your task manager and add routines where they're needed. Here's the whole thing, in the order to set it up.
I've been giving my AI employees an identity and an index of skills all year, and it's the same direction Anthropic is pointing everyone in now. A toolkit isn't anything fancy. It's a folder with an agent file that says who the employee is, what it connects to and which skills it pulls from, and here's how to build your first one.
Every time you want AI to do something new, it's tempting to build another agent. Anthropic's own guidance says to start with one and add more only when you have a reason. Here's what Anthropic actually says, the four-part test I use before I create any new AI employee, and the prompts to run it on your own jobs.
We've all been chasing the AI agent hype, building every agent and downloading every skill and hoping our systems get better. The first thing you actually need to do is the boring stuff: map your AI org chart. Install my AI Org Mapper skill and it interviews you, then maps your COO, your departments, the employees you actually need and the skills each one uses.
I started with ten AI directors and a pile of employees. Now I run one COO, a small team split into departments, and one shared library of skills. Here's how my AI team is set up today, what an AI employee actually is, and how work moves between them.
If you're curious about AI employees but overwhelmed by all the skills and pieces you'd need, build one employee first: a COO. Give it your org chart, let it draft the rest of your team with you, then hand it work from ClickUp. Here's how to set it up, step by step, with the COO template and the prompts.