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Introduction

What FluxonLab is, how the platform fits together, and how to use these docs.

FluxonLab is a Vienna-based AI venture studio and product lab. We design and ship practical AI systems — web products, developer tools and automations — and we run a constellation of surfaces around them: this website and its journal, a guided prompt engineer, a workflow marketplace in build, and a shared account and credit foundation called FluxCore.

These docs are the reference for everything we build in the open: how the products work, where each one actually stands, and the principles we hold ourselves to.

What you’ll find here

  • Start here — a five-minute orientation: what the platform is and how to begin.
  • Products — per-product guides for the roster, from live tools to honestly labelled coming-soon products.
  • Platform surfaces — Labs, Prompt Studio, FlowHub, Blog and the FluxonLab site: the shared surfaces around the product lab.
  • Reference — privacy, prompt, media and troubleshooting references, plus the glossary.
  • Operations — docs structure and repository operating rules.
  • About — the engineering principles behind the work, plus FAQ and support.

An honesty note

We label every product with where it actually stands: live (publicly available), split (one surface is live while the larger product stays closed), building (actively in construction) or coming soon (previewed publicly, not yet open). When something is not public, the docs say so rather than pretending it ships today. If a page describes a capability as usable, that capability should be real.

Conventions

Code and commands appear in monospace. Anything you must replace with your own value is written in ALL_CAPS. Where a step needs a key or credential, we name the environment variable — never a real secret.

Good first pages

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