AI that runs in production.
Not a demo that impresses once.

The hard part of an AI system was never the model call. It's the retries, the audit trail, the cost ceiling, the day the provider changes an endpoint, and the person who has to trust the output on a Tuesday afternoon. That's the part we build.

Where to go next

How we work

• Scope firstWe start from the task a person is doing today and the cost of doing it. If the honest answer is that a script or a better form solves it, we say so — that conversation is free and it saves you a project.
• Ship narrowOne workflow, in production, measured. A system that handles a single case reliably beats a platform that handles nine cases at 80%, because 80% means a human re-checks all of it.
• Own your stackWe deploy on infrastructure you control, with your keys and your data. No per-seat rent on a wrapper, and nothing that disappears if we do.
• Fail visiblyEvery system gets a state you can read: what it did, what it refused, what it queued. Silent failure is the actual risk in an automated workflow, not a wrong answer.

The same hands build our Shopify work

SPELL runs two lines of work. This one, and a Shopify studio that ships custom themes, apps and storefronts — including our own products through Shopify's review. Different discipline, same standard about what "done" means.