AI Workbench

Methods, tools,
and operating lessons.

Short technical notes on how AI-assisted work is framed, built, checked, maintained, and sometimes discarded.

8Workbench notes

01AI Workbench

AI workflowModel stack

My AI Stack Is A Workbench

Why I do not treat models as favorites, but as tools with different jobs inside a larger workflow.

02AI Workbench

AI workflowSkills

Prompts help, but reliable AI-assisted work depends on repeatable workflows, standards, examples, and checks.

03AI Workbench

Problem framingAI workflow

The useful work starts before generation: framing the real issue, decision, constraints, product, and standard.

04AI Workbench

Model stackAI workflow

I do not use one model for everything. I use a stack, and each tool has a job.

05AI Workbench

VerificationAI review

I split review into alignment, verification, assessment, and skeptic passes instead of asking a model to grade itself.

06AI Workbench

AI toolingMaintenance

Building the tool is the easy part. Keeping it working is the standing cost.

07AI Workbench

Tool selectionAI workflow

Not every AI tool earns a place in my workflow. Some cost more than they return.

08AI Workbench

TranslationWorkflow design

Good translation is not one prompt. It is a workflow with standards, checks, and human review.