alluvo and Claude

alluvo vs. Claude? Wrong question.

One is the brain, the other is the system.

AI for your day as a staffing agency: Claude understands what you mean, alluvo knows what you are talking about. Which employees you have, what they cost, who is available when and which deadlines are running.

There is not one sentence against Claude on this page. It says what a language model cannot answer without your business, and what happens when it gets one.

The symbiosis

Division of labor. Not a contest.

A language model is the best interface ever built: you write one sentence and something understands you. But an interface is not a business. What lies beneath decides whether that sentence becomes an answer or a well-worded guess.

Claude

Language. Thinking. World knowledge.

Claude reads half a sentence and understands the intent behind it. It drafts, sorts and sees connections nobody thought of. And it brings everything that has been written in the world.

  • Understands what you mean, not what you clicked.
  • Thinks in connections instead of forms.
  • Brings world knowledge that is in no database.

This is not a competitor to be played down. It is the best user interface this industry has ever had.

alluvo

Your data. Your rules. Your industry.

alluvo is the system that knows what a staffing contract is, what it may cost, who may sign it and how long it may run. Your employees, your clients, your guardrailsPay agreement, equal pay, maximum assignment duration and legal deadlines are part of the data model, not a checklist. alluvo checks them before a document exists. Today they follow German temporary-agency law (AÜG) for agencies under German law; other countries are planned., in one place, permanently.

  • Knows your employees, qualifications and hourly rates.
  • Knows your rules and does not allow what contradicts them.
  • Knows your industry: temporary-agency law, collective agreements, equal pay, deadlines. German law today, other countries planned.

This is not intelligence that is claimed. It is the ground on which intelligence can get something done.

connected through the alluvo operator

The honest part

What is missing when you only use Claude.

None of this is a lack of ability. It is a lack of ground: a model cannot know what is written nowhere it could look.

Claude alone

Brilliant. No ground.

  • Personnel data model
  • Temporary-agency law as a guardrail
  • Permissions and audit
  • Client portal and employee app
  • Payroll data
  • § 11 / § 12 automation
  • Durable, structured data

Seven things Claude understands as soon as you tell it, and forgets as soon as the window closes. It does not lack skill. It lacks your business.

Claude + alluvo

Brilliant. With ground.

  • Personnel data model Employees, qualifications, hourly rates, availability, all as records that every next step knows.
  • Temporary-agency law as a guardrail1 Equal pay and maximum assignment duration are in the data model, not a checklist. What does not fit is never created. Built for agencies under German law; other countries are planned.
  • Permissions and audit Who may do what. Who did what. Every action with a sender on the timeline.
  • Client portal and employee app Your clients book on their own, your employees report in without a call. Both write to the same data.
  • Payroll data Hours, surcharges, salary and bank details on the personnel file. Payroll and DATEV export are for agencies under German law; other countries are planned.
  • § 11 / § 12 automation2 The employee notices and the written staffing contract are created with the contract, not after it. For agencies under German law; other countries are planned.
  • Durable, structured data A record that stays. Not a chat history somebody closes eventually.

The same intelligence. Only now your business lies underneath, and stays there after the conversation is over.

That is exactly why the chat on the home page answers questions a language model cannot answer alone. It does not lack ability. It lacks your data.

State of the art

Bolted on. Or built in.

A button does not make software AI.

The established vendors in this industry cannot keep up with current AI technology. That is not a reproach, it is a question of vintage: their architecture dates from before language models. AI arrives there as a button, bolted onto a system that was designed without it.

alluvo is built on the state of the art. AI-nativeNot software with an AI button: alluvo is built around language models. You describe a goal, alluvo carries out the steps and shows what it did. means the language model is not an extra feature, it is the interface. MCP-readyMCP is the open standard AI assistants use to talk to software. Connect Claude and others directly to alluvo and ask your scheduling team in plain English. means Claude talks directly to your system, with no layer in between and no project.

  • AI-native from the first line
  • One open protocol instead of fifteen interfaces
  • New models are an update, not a project

Vibe coding

Sure, you can vibe-code this yourself.

A weekend, a prototype, it looks good. That is not meant ironically: we build that way ourselves. Large parts of alluvo were created with a language model at our side.

But afterwards the question shifts. No longer: can this be built. But: who is still running it in three years.

And then?

  • Who maintains the system.
  • Who builds what your users ask for.
  • Who keeps up with the standards.
  • Who builds in changes to the law: collective agreement rounds, temporary-agency law amendments, data protection practice.
  • Who gets up when billing jams at night.

This is what maintenance really looks like, not as a promise but as a ledger:

versions3
210
releases per day
1.1
since the first version
März

Since März 2026, every single day. What is in each of these versions is in the changelog, line by line, with a date.

You can vibe-code a system. You cannot vibe-code a team.

Bring your own Claude.

Start free and connect your assistant. The installation guide shows the way for Claude and for ChatGPT. Or book 20 minutes and we will show you the symbiosis on real processes from your business.