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Use case · measured

Check every order. For cents.

Every incoming order checked against your rules before it is picked: customer, address, delivery date, item, quantity, unit, price. Described once in plain language, then run as code.

The AI thinks once. Then your task runs as software.

Example: checking every incoming order. Six steps run as code. One uses a model.

  1. Describe it

    “Check every new order against our ten rules, and flag anything odd in the customer's remark.”

  2. Maurice writes the specification

    Six steps become plain code. One step, judging the free-text remark, uses a model.

    Readable, versioned, stored with your code.

  3. A person approves

    Tested on 48 real orders.

    • Approve
    • Correct
  4. It runs, the same way every time

    Order #10482: 9 rules pass. Remark flagged for review.

1,000 runs €0.07

In our benchmark: 1,000 order checks

  • 18× cheaper than the cheapest AI agent tested €0.07 vs €1.27, and up to 232× (€16.22)
  • 100% success on exact rules no errors over 1,250 runs, vs 3 and 15 errors for the AI agents
  • 50 / 50 identical results on a repeated run vs 48 / 50 and 49 / 50 for the AI agents

Synthetic scenario, against Claude Haiku 5.5 and Sonnet 5.5 agents. Execution cost only, excluding infrastructure. Read the methodology and its limits

The full measurement table

For 1,000 runs
For 1,000 runs AI agent (Claude Sonnet 5.5)AI agent (Claude Haiku 5.5)Maurice
Execution cost €16.22€1.27€0.07
Duration of one run 7.1 s6.8 s1.1 s
Errors on the 9 exact rules 3150

Why not an agent or a workflow builder? →

Do it on your own orders.

The same path works for your rules, your systems and your volumes.

  1. Write down your rules

    In your own words, the way you would explain them to a new colleague. Ten rules took about 9 minutes in our benchmark.

  2. Test on real orders, then approve

    Maurice turns the rules into code and keeps a model only for judgement, here the free-text remark. A person approves the specification.

  3. Run it, and measure it

    Every run is logged with its cost. In a pilot, we measure cost per run, time saved and accuracy on your data.

Read the full methodology and its limits →