“We have ChatGPT. The staff need to use AI.”
Access isn't adoption.
The team were told to play with it. Nobody got the output they wanted, so everyone quietly stopped.
What “this worked” looks like: the team are using it and asking questions.
People × Systems × Expertise
I work with people and small organisations whose value comes from what they know. We look at where your people are actually at, whether your systems work in real life and where the real value sits. Then we build around that, with you or for you.
Not sure what needs fixing first? That's exactly what a Read is for.

Hi, I'm Rach
Teacher by qualification and character. Builder by nature.
Better systems·More capable people·More room for human work.
Sound familiar?
Before anyone picks a tool, I want to know what's actually happening. Usually it's one of these.
“We have ChatGPT. The staff need to use AI.”
The team were told to play with it. Nobody got the output they wanted, so everyone quietly stopped.
What “this worked” looks like: the team are using it and asking questions.
“You don't need to keep up with AI. That's my job.”
You need to know what it changes for your field. Sometimes that's a tool your members use. Sometimes it's one you can charge for.
“I've saved all the reels.”
Almost anything you want to know is a search away. Knowing it and changing how you work are two very different things.
The doing is where I come in.
Hear it from me
So you don't have to keep up with every new tool. A few of the things I explain most, in under 30 seconds.
Working together
You don't need to know which tool or package you need. You need to know where you're stuck, and how much of the build you want to hold.
“I'm not even sure what the right problem is yet.”
Buy the diagnosis before you buy the build. You leave with a sequenced Map of what should happen next.
“I know what I want and I want to build capability while we make it.”
You drive. I guide. Build the thing, and build your capability at the same time.
“I know what I want and I want Rachel to make it.”
I build. You approve. Without building a black box you can't use without me.
“My team, members or community need to come with me.”
Don't just give your people AI tools. Build their capability to use them well.
Keep Me Close. Built the thing? Keep me in your corner while you use it.
How ongoing support works →What we might build

I wondered if this would work, so I built it.
Context, voice, skills, recurring work and repeatable ways of working that make AI genuinely useful.
The repetitive process, admin job or operational friction that keeps eating attention.
Calculators, self-assessments, decision trees, scorecards, prompt generators, readiness audits and action-plan builders.
Courses, memberships, resources, workshops and onboarding designed around application rather than passive consumption.
What you know, turned into a repeatable resource, tool, programme, workflow, product or internal system.
Clearer, easier experiences from the customer's side of the screen.
Landing pages, websites, resource hubs, content infrastructure and bespoke tools.
Ways to capture your expertise, shape ideas and reuse your thinking without flattening your voice.
Got something weird? Good. Show me.
Tell me what you're working onHow I work
Every pathway runs on the same method, and the capability moves across to you as we go.
What should be different when we're done? “Can we automate this?” isn't the problem yet.
Who has to use this on Monday, what they already know, and what makes the change hard.
The smallest change that makes the biggest difference. Sometimes that's removing a step, not automating it.
Do the thing while the support is still in the room.
It isn't finished because it's built. Can the people who need it use it, own it and keep using it when I'm not there?
I doWe doYou do

Curious enough to try early.Experienced enough not to confuse new with better.
Why this comes from a teacher
Teaching was never just delivering information. It was working out where someone was starting from, what the next achievable step was, and why something wasn't landing. I was an early adopter the whole way through, including helping colleagues through a learning management system change.
The learners changed. The tools changed. The work underneath it didn't.
Free guides · all 12 complete
Built for doing, not just reading. Each one ends with one thing to try this week. See all 12 →
Four half-built AI things. One page to decide what stays.
“I started with AI and it got away from me.”
Read the guide →Adjectives don't make it sound like you. One file does.
“Everything it writes sounds like a press release.”
Read the guide →Downloads aren't leads. Build the version that asks back.
“People grab the download and never open it.”
Read the guide →Act as my editor. Rewrite [DRAFT] for [AUDIENCE] in under [WORDS] words. Keep my voice. Flag anything you're unsure of.
copy, paste, done.
Not sure what needs fixing first?
A Read looks across your people, systems and expertise and gives you a sequenced Map.

One useful note, most fortnights
What I'm testing, what I built, what I changed my mind about. No hype. If it isn't useful, it doesn't get sent.
The Three Repeats Starter Kit, free when you join.