What is kreativarc.com?

Arnold LovasArnold Lovas
2 min read

kreativarc.com is not a trendy new AI startup. It’s a personal platform — part lab, part playground, part infrastructure testbed — where I build and test ideas without constraints. The name? “Kreatív arc” is Hungarian slang for “creative guy” — as in, someone who’s always building something. Something useful, something clever — occasionally something entirely pointless, but at least educational.

That’s more or less what I do:

  • explore new ideas
  • build functional prototypes
  • and refine everything from infrastructure to frontend — while documenting what I learn

Why self-host?

Because two things matter to me: learning and control.
This isn’t a throw-it-on-Vercel-and-forget-it project.
It’s a low-cost, fully owned stack — designed from the ground up to support rapid experimentation without vendor lock-in.

Design goals:

  • Cost-efficient. Hetzner VPS + Docker is orders of magnitude cheaper than AWS for small projects
  • Fast to deploy. I want to push PoCs weekly — not spend weeks wrestling CI/CD
  • Scalable. The stack should support growth if an idea gains traction
  • Secure. Admin interfaces are never exposed publicly. Cloudflare Tunnel + Access takes care of that

What’s under the hood?

If it can be done in TypeScript and augmented with AI, I’m likely doing it that way.

Frontend

  • Next.js + MUI – solid UI performance and component consistency
  • tRPC + React Query – end-to-end type safety, no boilerplate REST

Backend

  • Node.js + tRPC + Zod – type-safe APIs and clear validation
  • PostgreSQL + Prisma + pgvector – relational + vector search combined
  • LLM integration:
    • OpenAI
    • Langchain
    • LangGraph

Use cases:

  • Document ingestion and preprocessing
  • Agent-driven workflows
  • Structured outputs from unstructured content

Testing

  • Jest for unit and integration tests
  • AI-based E2E agent for validating non-deterministic responses

🔁 Workflow orchestration

  • Temporal handles:
    • retries
    • scheduling
    • long-running pipelines
    • observability and isolation

Example workflows:

  • Scraping new URLs
  • LLM-powered data extraction and embedding
  • Updating vector DBs
  • Generating structured content from semi-structured sources

What to expect from this blog

No clickbait. No “10x your productivity with VSCode extensions” fluff.
Just:

  • real PoC applications with AI integration
  • real-world infrastructure setups
  • honest lessons from hands-on builds
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Written by

Arnold Lovas
Arnold Lovas

Senior full-stack dev with an AI twist. I build weirdly useful things on my own infrastructure — often before coffee.