JENGAI had real customers and a round closing. In a single week alongside the team, I doubled how fast each engineer shipped and left them an AI workflow they own. Then I spent the next six weeks on the hard part: clearing the performance ceiling they had hit, and building a real AI capability into their product itself, the kind of integration most teams don't yet know how to attempt.
What began as a weeklong intensive became an ongoing engagement. The week proved it, then Shayne kept me on to build the rest.
One week working alongside them. Each engineer came out shipping about twice as fast, and it held all month, because I installed an AI workflow they run themselves. Idea to spec to review to ship, with automated senior review built in. Around 48 initiatives followed, most run by teammates.
Instrument first, build a safety net, then fix. A core read went from 13 minutes to about 15 seconds. A common delete went from hundreds of thousands of database reads to a handful. The class of problem raw AI gets confidently wrong.
Continuous integration and deployment, async infrastructure, a test and safety harness, observability, and a set of skills and agents the team keeps using. The foundation every feature now ships on.
Not developers using AI to write code faster. AI built into the product itself. An assistant that can safely propose, preview, and undo real changes to live customer data, backed by full change history. Most companies this size can't attempt it, and most don't yet know where to start. This is the work I am finishing for JENGAI now, and it is the capability I most want to build for the next team.
Seven weeks of senior work returned a lift equivalent to a couple of additional engineers of capacity, plus a platform and an AI system that keep paying off after I leave. The return is not a one week bump. It compounds, because the team owns what I built.
JENGAI has real customers and a $2M round closing. The product works. What we needed was to level up how our team builds with AI without falling into the slop trap most teams hit at our stage. Min showed up and did exactly that.
Senior engineering judgment combined with actual AI fluency is the rarest hire of 2026. Mine is named Min.
Tell me what you are shipping and what is getting in the way. The more specific, the more useful I can be on the first call.
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