Shipping AI Automation That Actually Saves Time

It is easy to build an automation that demos well and helps no one. The real test is whether it removes hours of repetitive work every week without creating new work to babysit it.

My approach is simple: start from the manual process, find the step that costs the most time and attention, and automate that first. A Gmail sorter that triages an inbox. An n8n pipeline that turns a raw meeting recording into signed-off minutes. A lead-capture flow that drafts and sends a proposal before the prospect has closed the tab.

AI earns its place when it handles the fuzzy parts — reading a PDF exposé, classifying an email, writing a first draft — while deterministic code handles the parts that must be exact.

Every build in this portfolio lists the time it saves. That number is the whole point.