Generative AI is good at a narrow, valuable thing: reading unstructured information and turning it into something a system can act on. On its own that is a demo. Built into a system, it does real work every day.
We build that system. The model does the reading and the judgment, ordinary code does everything around it, and the result runs inside the software you already use.
Drafts, checks, and publishes on-brand articles on a schedule.
01
A common mistake is to route everything through the model and pay for it. We do the opposite. The model handles only the sliver that genuinely needs reading or judgment, and plain code handles the fetching, the writing, the checks, and the schedule.
That is what keeps a generative-AI system affordable to run and reliable enough to trust. It also means the cost is predictable, and we put the monthly usage number in writing before a build starts.
02
We build generative-AI systems that read documents, draft entries, check records, and monitor numbers, always inside the software you already run and always with a person approving anything that changes a record.
We have built these for our own operating companies, from a rebate-and-margin tool running inside an Epicor P21 ERP to daily monitoring, CRM capture, and reporting. Every one started as a build for a specific job, not a general-purpose assistant.
Proof
Drafts, checks, and publishes on-brand articles on a schedule.
Publishes weekly for Keller Creative and for this site.
Autoblogger is one of those builds: the model drafts and checks the copy, and it has published on schedule every week since it went live.
FAQ
It builds the generative AI model into a working software system, rather than handing you a chatbot or a prototype. We design where the model is actually needed, wire it into your systems, and hand over a tool your team runs, with a person on sign-off.
Products handle the general cases many businesses share. A build handles the specific system your business needs, runs in your tenant, and belongs to you. If a product is the smarter buy for you, we will say so up front.
By calling the model only for the part that needs it and letting ordinary code do the rest. That keeps usage a fraction of what it costs to route every step through a model, and the monthly number is agreed in writing before we start.
One fixed fee. A build-or-don’t-build verdict in writing.