Digital Maker runs 54 AI agents in production internally — and the count grows daily. The same systems we build for clients are running in our own acquisition, project work and reporting.
We know it from daily operations — with everything that comes with it: the moments an agent works perfectly, and the moments it almost does. This knowledge flows directly into client projects. We've already made the mistakes ourselves. Not on your dime.
You should use the best models — without chaining yourself to them. 2026 showed how fast that can flip: a top model was offline for 19 days by order, and one AI provider became its own partner's competitor within two months. Whoever hard-wires their business to an ecosystem gives up control. We build differently — so the model stays swappable and the code belongs to you. What that looks like in practice is in our Insights.
Every agent, every workflow, every configuration lives in your accounts — documented and handed over. No vendor lock-in, no subscription on hope.
The model sits behind an abstraction layer. If a provider gets pricier, fails or becomes a competitor, the switch is a configuration — not a rebuild.
For privacy-critical workloads we use open models running locally or in EU cloud. What never leaves the building, no one can mine.
We build business-critical processes on open standards, not on proprietary ecosystems whose rules can change at any time.
Incoming requests get contextualized automatically — industry, company size, identifiable need, fit with our core services. No manual CRM entry. No lost information between first contact and first conversation.
Project documentation emerges in parallel — not after the fact. Meeting transcripts get structured, decisions contextualized, open items land automatically where they belong. No "I'll write that down quickly." It's already written.
No manual collecting of numbers. The stack reports itself — project status, utilization, open items, next steps. Gee steers the company instead of managing it.
Whoever thinks of agents as "digital employees" builds themselves disappointment. Whoever thinks of them as surgical tools builds themselves an advantage.
We've experienced both ourselves. That's why we know how to avoid them.
We exclusively use tools we can explain publicly — and everything we explain, we can also build. No no-code tools, no vendor lock-in. If you want to stop working with us tomorrow, the entire code, infrastructure and knowledge belong to you.
What everything runs on. Models, infrastructure, data stores.
What our agents can read, write and control — via Model Context Protocol.
Tools for code, deployment and our own agents — Hermes and Paperclip.
When we build an AI agent for you, we don't just bring technical know-how. We bring operational experience — from a company that works with it daily. That's the difference between a system that can be demonstrated — and one that runs.