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Neviox Digital
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21000 Split, Croatia

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neviox-os: The AI System We Run Neviox Digital On - Neviox Digital Split

neviox-os: The AI System We Run Neviox Digital On

The AI system we run our own business on: one rulebook, a library of proven routines, agents, a searchable code graph and a dashboard. Anything going out is approved by a person first.

On this page
  1. One rulebook that applies everywhere
  2. We only automate what is proven
  3. Tasks that need judgement
  4. Understanding code without rereading it
  5. One dashboard with real data
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neviox-os is the AI system we run Neviox Digital on every day: a rulebook the AI always follows, a library of jobs it knows how to do, roles that can use judgement, a way to understand any codebase at once, and one dashboard that shows it all. Whatever we propose to clients for AI integration runs on us first.

The problem with most AI stories

Most "we use AI" stories are really a chatbot taped to a spreadsheet, or a folder of prompts nobody opens twice. We wanted a system that remembers, that can be trusted with small decisions, and that shows in one place what is running.

What we built

Every part below is in daily use.

One rulebook that applies everywhere

One file tells every AI session who we are, how we write and what must never happen without human approval, such as sending something to a client. Change that file and the rule applies everywhere at once.

We only automate what is proven

We do not automate a task until we have done it by hand three times. That keeps the system full of things that really save time. Today it holds ready routines for compliance checks, speed audits, SEO and content.

Tasks that need judgement

For open-ended tasks we built agents: AI roles that make decisions throughout a task instead of following a fixed recipe. One drafts first-contact messages today, and we read and approve them before anything goes out.

Send Us Your Site, Repo or Idea. Our Engineers Reply in Writing.

We reply as soon as we can, and tell you what we would change first.

What we shipped, what broke and what we would do differently. No news roundups.

Understanding code without rereading it

Instead of reading the whole project for every question, our tool turns the code into something like an index once and answers by search. That is faster and cheaper than starting over each time. Thirteen of our projects work this way today.

One dashboard with real data

Everything comes together in a dashboard we check daily: an overview of all projects, a feed of relevant conversations online, search numbers and a queue where every AI-written text waits for approval. Nothing publishes itself.

How we use it

The system looks for the answer first, and only then do we read code by hand. We check the approval queue every morning. The system finds and drafts, and a person makes every decision that goes out.

Results

  • 13 projects as a searchable index: answers are faster and cheaper than rereading the whole codebase.
  • A library of proven routines: everything in it earned its place through three real repetitions.
  • A public dashboard: in live use, to the same standard as client work.
  • Nothing goes out without approval: every draft, post and reply waits for a person first.

Expected impact

The system should save us about 8 to 10 hours a week on drafts, reports and research, and that time goes back into client work.

Because every routine follows one rulebook and every draft waits for approval, mistakes should be caught before anything leaves the company.

Estimates are based on how we use the system every day.

IndustryBusinesses & Institutions
ServiceAI Consulting
Technologies
  • Claude Code
  • Next.js 16
  • React 19
  • TypeScript
  • Tailwind CSS
  • Vercel
  • GitHub API
  • n8n
  • Google Search Console API
  • Ahrefs API
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