See the work. Know the source.
A visual media library with file analysis and an AI-transparency register.
Working prototype / Inspectable workflow and exportable evidence.
Read the caseI build the tools and workflows that make AI useful in creative work, with brand quality and human judgement built in.
AI Lead + Lead Designer.

Where AI belongs in creative work, and where it does not.
Define the creative problem. Choose where AI can make a useful contribution.
Explore AI direction ↗A visual media library with file analysis and an AI-transparency register.
Working prototype / Inspectable workflow and exportable evidence.
Read the caseA project bank for finding, saving and joining AI experiments.
Read the caseAn AI-built market visualizer, connecting my Bitcoin expertise with a clear visual view of price movement.
Read the caseStep inside the making of this website. Explore the concept, the AI experiments and the design decisions behind the final result.
Explore the processMy view: the next step is to build AI into the way creative work is made, reviewed and delivered. Leaders need a clear purpose, a standard for quality and evidence that a workflow is useful before they scale it.
Read the perspective ↗Choose a recurring creative problem: unclear handovers, repetitive production or work that is difficult to review. Define what a better outcome would look like before choosing a tool.
Make brand standards, source information and review responsibilities part of the process. Decide where people approve, correct or stop the work. Quality depends on those decisions as much as on the model.
Make a working prototype and compare it with the current way of working. Examine time, rework, output quality and whether people can use it. Let that evidence guide the next investment.
Working on the same questions?
Let’s compare notes ↗Start with a clear creative question. Build a prototype, test it with people and refine the direction.