Revenue architecture
I look for the few operational changes that can change pipeline, conversion, retention, throughput, or margin — not the longest list of possible automations.
About Dan Tomescu
I build the AI systems I used to wish my team had.
I come from marketing operations, not AI theater. I have run campaigns, managed content and analytics systems, worked around budget constraints, and watched good strategy die because the workflow underneath it was too slow. Proworks is the answer: senior business thinking plus production AI implementation, delivered by the same operator.
Operator thesis
AI only matters when it changes the economics of the work.
I do not start with a model, a dashboard, or a “transformation roadmap.” I start with the business loop: where revenue is created, where leads leak, where teams repeat the same work, where content slows down, where reporting becomes guesswork, and where decisions wait for manual coordination.
The best AI systems remove friction from that loop. They shorten campaign cycles, improve handoff quality, clean up reporting, accelerate research, generate draft work with context, and create the operating leverage that can support double-digit year-over-year improvement when the funnel is ready for it.
Scale context700+
Retail locations shaped my understanding of operational marketing complexity.
Delivery model2–8 weeks
Small, fixed-scope systems before broad transformation.
Proof4 shipped
SaaS, MCP SEO tooling, content pipeline, mobile agent workflow.
Biasbuild
A working system beats another strategy deck.
How I think
Marketing judgment first. Engineering second. Governance always.
Marketing reality
SEO, paid media, content operations, CRM hygiene, analytics, and customer journeys are not abstractions to me. They are the environment where the AI system has to survive.
Production discipline
Agent systems need approvals, budgets, audit trails, fallback paths, rate limits, context discipline, and clean handoff docs. Otherwise they become clever demos.
Solo accountability
The person who scopes the work is the person who builds it. No senior pitch followed by junior handoff, no hidden agency layer.
What I have shipped
The positioning is not theoretical. It comes from systems already built.
A-Stats Online
Full-stack SaaS for wellness practitioners. Next.js, FastAPI, PostgreSQL, production deployment, AI-assisted workflows.
shipped systemCarina Șuteu
WordPress rebuild with SEO/AEO/GEO system, custom TypeScript MCP server, PageSpeed 42 → 94, 29 posts optimized.
shipped systemGenerato
AI content pipeline for Romanian psychology/wellness content, built for native Romanian nuance instead of translated English.
shipped systemForge Remote
Mobile Claude Code workflow on Anthropic SDK, voice/text control, secure remote development patterns.
shipped systemFit
Best fit: founders and teams who want practical leverage, not AI cosplay.
I am useful when you have a real business problem and enough operational surface area for AI to matter: content bottlenecks, sales follow-up, research, reporting, lead scoring, internal knowledge, SEO/AEO systems, customer support workflows, or internal agent tools.
I am less useful if you want vague inspiration, a keynote, or an innovation lab artifact. My work is narrower and more valuable: define the leverage point, ship the workflow, document it, and hand it over cleanly.
FAQs
Questions buyers usually ask.
Are you a consultant, developer, or marketing operator?
The useful answer is: all three, in that order for the problem. I start from business and marketing reality, scope the system, then build the production workflow myself.
Why does marketing experience matter for AI implementation?
Because most AI projects fail at the workflow layer, not the model layer. Campaign calendars, attribution, content approvals, CRM hygiene, lead routing, reporting, and handoff quality decide whether a system moves revenue.
Do you promise double-digit YoY revenue growth?
No serious operator promises that without seeing the funnel. I build systems designed to expose and execute the operational changes that can create measurable leverage and, where the funnel supports it, contribute to double-digit year-over-year improvement.
next step
Bring me the business problem. I’ll tell you if AI is the right lever.
Thirty minutes, free, no pitch. You get a direct assessment of the opportunity, the risk, and the likely scope.
Book a scoping call