Marketing operator who learned to build.
I ran digital marketing at scale — 700+ pharmacy locations, multi-million euro ad budgets, analytics stacks, content operations. Then AI made it possible to build the systems I always wished existed. Now I do both.
Book a scoping call →Background
Dr. Max — Senior Digital Manager
Romania's largest pharmacy chain · 700+ locations
Ran digital marketing at the largest pharmacy chain in Romania — performance campaigns, SEO strategy, analytics infrastructure, content operations. Learned what 'scale' actually means when you have 700 locations and a real marketing budget. Also learned that the difference between a strategy and a result is whether anyone can execute it.
proworks.tech — Solo AI Consultant
2024 — present
Left to build. Not because the job was bad — because AI made it possible to ship the kind of systems I'd been imagining from the marketing side for years. Now I help small teams and agencies do what used to require a team of engineers and six months.
What I actually do
I design and build AI systems that move business metrics. Not proof-of-concept demos — production deployments with documentation, handover, and 30 days of post-delivery support.
The work ranges from AI audits (2 weeks, fixed price) to full custom agent systems (8 weeks, production-ready, Anthropic SDK). Most engagements are in between — a specific automation, a marketing intelligence system, a RAG layer on your private data.
Everything is fixed-scope, fixed-price. No hourly billing. No retainer creep. No "discovery phases" that turn into four months.
Systems built
Common questions
What's the difference between an AI consultant and an AI automation agency?
An AI consultant (like Dan) does the strategic and build work themselves — you get senior judgment without agency overhead. An AI automation agency has a team, higher overhead, and longer timelines. For a fixed-scope system in 2–8 weeks, a solo consultant is usually faster and cheaper.
Why does marketing experience matter for an AI consultant?
Most AI consultants come from engineering. Dan came from marketing operations — he ran campaigns, owned analytics, managed budgets. That means AI systems he builds are designed around marketing outcomes, not just technical elegance.