Logic² is the next step beyond classic AI analyses in AMY. Instead of generating answers immediately, AMY first analyses the structure, content and particular features of your data. Only then does the actual reasoning begin, delivering well-founded results based not on guesswork but on a real understanding of your data.
2-stagepreprocessing, then reasoning
Self-correctionsolution paths are checked & evaluated
Traceableno black box, verifiable results
HOW LOGIC² WORKS
Logic² makes the thought process visible. AMY thinks about your question, selects the right columns and methods and corrects itself if necessary: traceable, transparent and professionally reliable. An example:
AMY thought process ▼
Okay, the user wants to calculate the Z-score for ‘Unit price’. The Z-score is the standardisation of a variable, i.e. (value − mean) / standard deviation.
First I need to make sure I use the correct column name. The available columns show that the unit price is called ‘Unit price’.
In Pandas with the PyArrow backend, the Z-score can be calculated with .std() and .mean(). The formula for the Z-score is: (x − mean) / std.
So for the column ‘Unit price’ that would be: (self.dfV['Unit price'] − self.dfV['Unit price'].mean()) / self.dfV['Unit price'].std()
Example: Z-score calculation for a column. In the product, the thought process is shown directly below the answer and can be expanded at any time.
WHAT MAKES LOGIC² DIFFERENT
Data first
Before AMY answers, it understands the data structure, columns, types and anomalies. Answers are based on real understanding, not on guesswork.
Self-correction
AMY checks several solution paths, evaluates intermediate results and corrects itself before the final result is in place.
No black box
Process description and calculation are transparent, so you see how the result was reached. Professionally reliable for audits.
INSIGHTS
Screenshots from the product: follow-up questions for a better result, chat function with Logic² and process description with transparent calculation.
USAGE & QUOTA
Because Logic² relies on particularly compute-intensive AI models and extended data preprocessing, the number of queries is deliberately limited. The AI Starter package includes 50 Logic² queries per month, the AI Pro package 200 queries per month. This ensures that every query is processed with maximum computing power, stability and consistently high quality. Details on the pricing page.
Counts as Logic²
- Questions to AMY in the chat with Logic² switched on
- Magic Prompt
- Having AMY plan and build a dashboard
- Having AMY detect relationships in the data model
- New column with Logic² switched on
- MUS report by AMY
- Data quality report by AMY
- AMY's recommendations for suitable analyses
Counts as a regular AMY query
- Questions to AMY in the chat without Logic²
- New column without Logic²
- A single calculation in a dashboard, e.g. one key figure
- Descriptions for bookmarks
Experience AMY live.
On request, we show you AMY and its AI functions online in English with realistic sample data, free of charge.