For founders and small teams
I'm an applied AI engineer and I build the whole stack myself, from the first version through approval steps, retries, logging and handover.
30 minutes. We talk through what you're building, the timeline and how we'd work together.
A first release scoped to what you need now. I build the frontend, backend and AI parts, then hand it over to your team.
A manual process turned into a pipeline that runs on its own and stops for review wherever a mistake would be expensive.
A short engagement to scope the system, name the risks and plan delivery before you commit to a build.
I work as an embedded engineer and own a part of your product end to end.
Learn the workflow and find where it breaks today.
Choose the architecture and decide where a person stays in the loop.
Ship in small working pieces and hand over code your team can run.
Watch how it behaves with real use and fix what that shows.
Agencies lost pipeline runs to silent failures and handled approvals in spreadsheets and Slack.
Developers want to post about what they ship, but writing it up is a chore.
Most support tickets were about the customer's own account and were answered by hand.
Yes. The code is yours. I build it in your repository and your cloud accounts, so you never depend on me to keep it running or to get it back.
I scope it after we talk, so the number matches the work. I work on my own, so the price covers the build with no account managers or layers of process on top. I start with the smallest useful first release and ship in small working pieces, so you see progress early and can change direction.
That's the part I focus on. In Conductor, runs survive a worker crash and resume in under 2 seconds. In the support agent, the pipeline, the tool layer and the confirm step each have automated tests, and a double click cannot run an action twice.
It can make mistakes, so I design for that. I decide where a person stays in the loop and put an approval step wherever a mistake would be expensive. Outloud publishes nothing without your review by default. The support agent asks the customer to confirm any change, and when a run fails the customer gets a handoff notice instead of silence.
Not always. If a simpler tool solves it, I'll tell you and we'll use that instead. The "Make the technical call" engagement exists for this: we scope the system, name the risks and plan delivery before you commit to a build.
Most of the work in an AI product happens after the demo. That's the part I like building.
Pick a time below. If email is easier, write to me directly.