We build agents and copilots around narrow workflows: the data they can read, the tools they can call, the checks that keep them honest, and the budget they must stay inside.
The hard part is not the chat box. It is tool outputs you can trust, retries that stop, permissions that hold, evals that catch regressions, and cost controls that do not surprise finance.
If the job is an FAQ bot, use a commodity tool. If the agent touches real data, takes real actions, or affects someone's workday, we scope it like production software.
Most engagements are a mix of these. We scope hard, ship in slices, and put each piece behind evals before we hand it over.
The first week is questions and a hard look at what you already have. What data exists, where it lives, who can see it, what counts as correct, and what a wrong answer costs.
Then we cut scope. Almost every agent idea has a smaller version that can ship in a month and earn the right to grow. We build that first, wrap it in evals, and put it in front of real users.
TypeScript for anything near your app or your users. Python where data work, evals, or pipelines call for it. We work with current model APIs from major providers and are not religious about which one wins. The right model is the one that passes your evals at a cost you can defend.
For evals and observability, we use proven frameworks plus custom harnesses where the task needs them. We pick tools that should still be normal in two years.
Nexibis Studio has shipped 100+ products for 50+ clients, with apps crossing 100M+ downloads and $25M+ in supported revenue. We have built ERPs, fleet systems, social products, mobile apps, and web platforms that people depend on.
That background makes us careful about agents. We would rather scope smaller and keep the system running than sell a grand roadmap that gets turned off after the demo budget runs out.
Send the workflow, the data it would touch, and what a wrong answer costs. We'll reply with the parts we would build, the parts we would not, and a first slice that can be tested.