Do I need technical experience?
No. If you can use a browser and explain your own work, that is enough.
How is this different from an AI course?
A course covers everything you might one day use, on someone else’s examples. We build the one thing your work needs, on your material, and it is running before you leave.
We already use ChatGPT.
Then every week starts from an empty chat. That is the thing we fix: persistent context, repeatable steps and a defined review point.
AI output isn’t reliable enough for my work.
Unsupervised, often it isn’t. That is why the workflow ends with you. We define what good looks like and where you check it, so the parts that need judgment keep yours.
What do I do after the session?
Follow the plan. It is written as a checklist with a check at each step, so you know when the next step is safe.
Is one session enough?
One clear workflow fits in 90 minutes. If you are starting from zero, or the work crosses several tools or people, it takes two or three sessions — and you will hear that on the free call, not at minute 85. Follow-ups pick up exactly where we stopped.
What do I need to prepare?
After the call I will tell you exactly what to bring — usually one real example of the task and whatever you would normally use to do it.
Which tools will we use?
Whichever fits your task — Claude, ChatGPT, Gemini, and the tooling around them. You also get the criteria, so the next choice is yours.
What will it cost to run afterwards?
We size it before we build it: which model the task actually needs, how often it runs, and roughly what that costs per month. Often the subscription you already pay for is enough.