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References · From live operation

Real systems.
With numbers, not marketing.

Few, but real. One paying customer plus what runs on our own brands. Names stay anonymous, the numbers are genuine.

A content operation we run

Two channels,
one brand voice.

DACH law firm for personal injury law·11 lawyers·Live since May 2026

Posts that reliably go out, without starting from zero each week.

Before, posts were made entirely by hand: text via ChatGPT, visuals built manually in Canva, everything copy-pasted between tools. Today a system we built and operate runs inside their Microsoft Teams: drafts are produced against a fixed rule set, each lawyer approves with one click, and publishing to Facebook and Instagram happens on its own. Since July 2026 all 11 lawyers are on the system.

11Lawyers active
2Channels · Facebook & Instagram
May 2026Live since then, operated by us

Before

  • Posts made entirely by hand, every week anew.
  • Text via ChatGPT, visuals built by hand in Canva.
  • Everything copy-pasted between tools.
  • No clean approval trail.

After

  • Drafts produced against a fixed rule set.
  • Lawyers approve with one click.
  • Auto-publish to Facebook and Instagram.
  • Operated and monitored by us.
Also running

What we run on our
own systems.

DogfoodOwn D2C brand · E-commerceR&D + proofStack: Shop · Automatisierung · LLM

The same engine for product content.

We run the same engine on our own brands: raw product data in, brand-consistent descriptions per market language out, approval before anything goes live. We test what we sell on our own skin first.

Product contentMultilingualApproval gateDogfood
1Brand voice, all languages
n×Market languages
100%Approved before live
DogfoodOn our own brands
Next step

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