Build the first useful version
I take on focused consulting for organizations with a messy workflow, a half-formed product idea, or an AI capability that needs to become real. A first engagement produces a working prototype or workflow, a way to evaluate it with the people who will use it, and clear next-step decisions your team can own.
I’m also looking for the right full-time role: hands-on AI building, rapid prototyping, and turning useful experiments into systems a team can own.
Talk about a hands-on AI roleFocused consulting engagements
For consulting, I scope around a concrete outcome rather than selling a vague bucket of hours.
Build the first useful version
Turn an idea, recurring headache, or broken workflow into something real enough to use and learn from.
- Working prototype or small application
- Explicit acceptance criteria
- Handoff notes and next-step decisions
The point is not a polished monument. It is a useful first version that exposes what should happen next.
“The interface is not the moat. Continuity is.”
Discuss a projectSee how it played out: Bunch: a context system for continuity across memory gapsPut AI to work on a real task
Take one meaningful workflow and make AI useful inside it without pretending generated output is automatically trustworthy.
- Workflow design and implementation
- A way to inspect or check results
- Practical documentation for the people using it
The deliverable is an approach your team can try, evaluate, and improve rather than a demo that only works while I am in the room.
“People do not need permission to be experts. They need permission to try.”
Discuss a projectSee how it played out: Turning AI adoption into measurable, repeatable practiceHelp the team take ownership
When a useful pattern exists, I help turn it into something other people can operate, teach, and extend.
- Hands-on training
- Worked examples
- Ownership and handoff plan
Good systems should survive contact with the people who inherit them.
“People do not need permission to be experts. They need permission to try.”
Discuss a projectSee how it played out: Turning AI adoption into measurable, repeatable practiceHow this works
- We identify the concrete problem and the person who needs it solved.
- I propose a bounded first outcome, acceptance criteria, and estimate.
- We build, test, and decide what deserves to exist next.
Scope before spectacle
Pricing depends on scope. Sliding-scale options are available, especially for individuals, artists, and small community organizations. We define what success means before committing to a larger build.
Small nonprofits and LGBTQ organizations are especially welcome.
Discuss a project
Bring an idea, a recurring headache, or a system that needs to become legible.
Discuss a project