Consulting first
Useful when you need judgment before tools: what to adopt, what to ignore, where AI belongs, and what should stay human.
SERVICES
Two ways to work together, each starting with a fit check and ending with notes you can read. No mandatory retainers, no black boxes.
01
Focused work · Fit check first
Focused advisory work for people who run things: which tools are worth using, which repeated tasks are worth simplifying, and what to ignore. You leave with a plan you can use — with or without me.
02
$999 · Mac Mini purchased by you
I configure a customer-owned Mac Mini as a private AI command center: a working local agent, your first practical workflows, and hands-on training so you can run it yourself. Your hardware, your accounts, your data.
SETUP PRICE
$999
≈ 3 hours of setup + training
Private local AI agent, configured on your machine
Practical workflows, built with you during the session
Examples such as app prototypes, modular dashboards, planning flows, and research workflows
Hands-on training — you drive, I navigate
Documented setup with recovery paths
7 days of initial post-setup support
Hardware: Mac Mini purchased by the customer. Hardware cost and third-party app/model subscriptions are separate unless explicitly bundled. You buy the Mac Mini; you own it outright from day one.
WAYS TO WORK TOGETHER
Useful when you need judgment before tools: what to adopt, what to ignore, where AI belongs, and what should stay human.
Useful when the right next step is hands-on: a customer-owned Mac Mini, practical workflows, training, and clear recovery notes.
BOUNDARIES
Support retainers do not include guaranteed uptime, emergency response, cybersecurity monitoring, or hardware repair unless separately agreed in writing.
External actions, publishing, account changes, and business decisions stay client-approved unless separately designed and approved.
Customer-owned local hardware improves ownership and control, but connected models, email, apps, and integrations may still have third-party policies.
If a system cannot be explained, documented, and reviewed, it does not belong in the setup. AI output requires review before it is relied on.