How to read the line
- copper: the system at work
- pencil: first pass, raw work
- red: a person decides
We build around the work, not around the buzzword.
The right service rarely starts with a model name. It starts with the workflow: the sources, the risk, the exceptions, the people who validate, and the part nobody wants to keep doing by hand.
AI agents for real workflows
Branches out, comes back, hands the hard case to a person.
Agents that qualify, retrieve, draft, update tools, prepare decisions and escalate when judgement matters.
Process automation
The same rhythm, every time.
Connected workflows for recurring work: reminders, reports, CRM updates, documents, exports and internal handoffs.
Web scraping and market watch
Goes to the edge and samples it.
Scrapers, monitors and dashboards with traceable sources, explicit missing data and alerts that are useful before they are pretty.
Local LLM and data-sensitive systems
Stays inside a closed boundary.
Private or controlled AI architectures for teams that need to use sensitive documents without losing governance.
Creative websites
The line turns into letterforms.
Fast editorial sites, landing pages and product pages with strong copy, sober motion and a real design point of view.
Custom prototypes
Drawn as a draft before anyone commits.
When the shape is not obvious yet: dashboards, internal tools, agentic workflows and proof-of-value experiments.
Small scope. Real proof. Clear limits.
Narrow scope
We do not start with “transform the company”. We start with one painful loop and make it measurable.
Visible limits
The system must show what it did, what it used, where it failed and when a human should take over.
Proof before scale
A small reliable workflow beats a broad promise. Scaling comes after reality has pushed back.
Start with the workflow. We will name the solution later.
Not sure which service fits? Describe the work, the tools involved and what has to stay human.