AI & automation / the evolving arsenal

New tools.
Considered execution.

AI has become part of the way I work. My interest is practical: clearer research, faster prototyping, stronger development workflows and less avoidable manual work.

From exploration.
To implementation.

I use AI across research, visual exploration and development: comparing approaches, shaping ideas and working through implementations. Experience helps turn the possibilities into a useful direction.

The current work spans editorial workflows, image optimisation, workspace backups, cloud operations and search analysis. Some tools use AI-assisted production; others organise processing, infrastructure and recurring checks. Together, they extend the WordPress and systems work.

DefineAssistReviewRelease

Direction and review remain human responsibilities.

Where it becomes concrete

Tools around the work.

The current chapter includes public NinjaWeb products and internal tooling. Each has its own purpose and release status.

The code behind the tools

Judgement is
part of the stack.

01

Start with a real task

A workflow deserves automation when its purpose, inputs and expected result are clear.

02

Make the output reviewable

Readable changes, useful previews and an explicit review step help turn generated output into dependable work.

03

Keep control of the release

A prototype, a draft and a deployed system are different stages. Moving between them needs a conscious decision.