Proof
I have built products from nothing, operated SaaS systems for more than a decade, led engineering from one developer to nearly thirty, and now build AI delivery systems that help real teams move faster without lowering the quality bar.
What you are actually getting
01 - Judgment
AI helps me move faster, but it does not decide what belongs in production. I still read the code, weigh the tradeoffs, and care about the shape of the system after the feature ships.
02 - Leverage
Skills, rules, review loops, background agents, project instructions, tests, and verification gates are the machinery that turns individual AI wins into team leverage.
03 - Product Ownership
KickoffLabs was more than a decade of product work, support, scaling, integrations, customer needs, infrastructure, fraud pressure, and keeping a real SaaS business useful.
04 - Range
I have started from a blank file, owned production systems, scaled teams, built customer-facing products, and worked inside mature codebases that needed careful change.
05 - Delivery
My best work tends to happen in small teams with large surfaces: unclear problem, real constraints, production pressure, and not enough people to hide behind process.
06 - AI Discipline
Agentic coding changes the speed of risk. A wrong turn compounds faster. I build correction loops so teams can use the tools without pretending generated code is finished work.
Proof, not adjectives
“Small team, large surface, long duration.”
KickoffLabs started as an idea and became a profitable SaaS business that I helped build and operate for more than a decade.
The product surface was large: hosted landing pages, embedded widgets, REST APIs, custom domains, proxying, integrations, analytics, fraud detection, email workflows, and campaign tools. The team stayed small. That combination taught me how to create leverage before AI was part of the story.
“Enterprise software without losing the plot.”
At Telligent, I started as the original developer of what became an enterprise community platform used by Microsoft, Dell, EA, MySpace, weblogs.asp.net, and large internal communities.
The team grew from one developer to nearly thirty. My job changed over time, but the core stayed the same: keep the architecture, product direction, and delivery standards coherent as the system and team grew.
“AI leverage on real product work.”
At Kode Health, I build healthcare workflow products and AI delivery systems for a 10+ person engineering team.
The product work includes event-sourced Rails architecture, workflow engines, assignment systems, enterprise SSO, reporting, and audit workflows. The AI work includes reusable skills, cross-editor rules, review workflows, agent instructions, and background-agent patterns that make AI-assisted development repeatable across tools.
The shorthand
This page is blunt on purpose. For the human behind it, see About. For how I think through AI, software, and leverage, read the writing.