From a prototype that demos well to a system that holds up.
A prototype proves an idea. A production system survives real users, real data, real cost, and the security review. I take AI from prototype to production: the model work, the data and integration layer, the interface, the infrastructure, and the control layer that keeps it all visible and under budget.
Fixed or from-X project fee. Scope (systems, data, compliance) sets the band. Typical builds run $75k to $150k.
The prototype graveyard is full of impressive demos.
Most AI pilots stall in the gap between demo and deployment. The model was never the hard part. The hard part is the data flow, the integrations, the interface real people will use, the cost control, and passing the security review. That is the work that takes a prototype the last mile, and it is the work I do.
What you get, and how it is built.
The full system: architecture, interface, data, and a control layer.
Designed so product, AI, infrastructure, and the business outcome all hold together, and so it passes the review that prototypes fail.
A small number of moves, each one verifiable.
Every stage ships its own deliverables, so you can see progress and correct course before the next one starts.
Architecture
We design the system around the workflow, the data, the cost, and the review it has to pass.
Build the layers
Data, integrations, interface, and the control layer get built against your real environment.
Harden
Cost control, logging, evals, and the security and privacy work that gets it deployed.
Deploy and own
It ships to production on your infrastructure. You own the system and the roadmap.
Systems that survive the security review and run in the real world.
The difference between a prototype and a production system is everything around the model: the data flow, the interface, the cost line, the logs, and the review. That is where I spend the work.
I do not advise on AI from the outside. I build these systems in my own products first, live with the failure modes, and rebuild the parts that break under real users. The patterns I bring to your build are the ones I have already paid for in mine.
One project fee. No surprises.
Fixed or from-X project fee. Scope (systems, data, compliance) sets the band. Typical builds run $75k to $150k.
A scoped production system: architecture, build, control layer, deploy.
Multi-system, data-heavy, or regulated builds sit higher in the band.
Before you reach out
Start with a short call. Straight answer either way.
We confirm fit, scope the work, and decide whether to start with the Intensive or go straight to the build.
One letter, every Sunday. Working systems, not hot takes.
Build logs, working systems, and field notes from running a portfolio of AI ventures. Sent weekly, never more.