AI workflows · Automation · Technical systems

I build reliable systems and practical AI workflows.

I turn messy handoffs and repeatable work into workflows that teams can understand, operate, and improve.

Useful automation is not about putting AI everywhere. It is about finding the steps that waste time, creating a clear path through them, and making sure the system has a useful answer when something breaks.

Projects built to be used.

01

Open source

Prompt-Lab

A local prompt-evaluation tool that helps find where a production prompt breaks before users do.

  • Prompt evaluation
  • AI workflows
  • Local tooling
View project

02

Open source

EX188 Practice Lab

An unofficial, hands-on lab for practising container workflows in an exam-like environment.

  • Containers
  • Linux
  • Hands-on learning
View project

03

Case study

Workflow case study

Coming soon. A detailed breakdown of an automation problem, the workflow behind it, and what changed after it was put into use.

  • Coming soon
In progress

Build the part that actually helps.

I work across the workflow, from the first rough idea to the operating details that make it hold up.

01

AI workflows

I design useful AI workflows with clear inputs, review steps, and failure paths. The goal is dependable work, not a demo that only works once.

02

Automation

I connect APIs, tools, and repeatable processes to remove manual handoffs and keep important work moving.

03

Technical systems

I build the practical layer around a workflow: scripts, integrations, deployment basics, monitoring, and documentation that make it easier to run.

A few things I care about when building.

  1. 01Use automation where it removes real friction.
  2. 02Keep a person in the loop where judgment matters.
  3. 03Build systems that are understandable when something goes wrong.

Have a workflow worth fixing?

See what I am building on GitHub, or use the contact address once it is configured for this site.

Visit GitHub