Classifying and understanding scientific results with artificial intelligence.
Knowledge is only valuable if it is understood - and this is exactly where the Sonny AI scientific guide comes in. In every ScienceFact it ensures that users not only receive a result, but that this is also classified correctly. Sonny AI also provides an understandable explanation of the partial and final results. Whether it is about the personal risk of heart attack, which Life expectancy, the CO₂ footprint or many other topics - Sonny KI translates complex calculations into clear words and gives individual recommendations for action.
But how exactly does Sonny work? How is personal data processed? And how can the findings be stored? This article provides an insight.
Profile: Sonny KI
Name: Sonny KI - the scientific guide
Developed by: sonar
Availability: in all published ScienceFacts
Function: Explains results clearly and provides personalized recommendations for action
Technology: Large Language Model (LLM)
Data basis: Questions, answers and calculated influences from the ScienceFact
Sonny AI step by step
1. collect inputs
- Users enter individual data (e.g. age, gender, smoking status, etc.).
- These are processed automatically by the sonares computing core.
2. send data to the AI API
- The sonares backend sends the input together with a description of the ScienceFact to the API of the Sonny AI.
- Sonny compares the data with previously defined correlations.
3. explain the result and make recommendations
- Sonny analyzes the main influences on the result and formulates an understandable explanation.
- There are specific recommendations for action based on the most important influencing factors.
Can Sonny AI be integrated into every ScienceFact?
Yes, Sonny can be an integral part of every ScienceFact. It complements the calculations by categorizing the results and making them understandable for users. While ScienceFacts analyze complex relationships in a few seconds, Sonny helps to explain these relationships in simple terms and provide practical recommendations.
Our sonares team will be happy to explain how Sonny AI can be integrated into your ScienceFacts in a personal conversation!
Would you like to use ScienceFact for your website?
Practical examples: Where Sonny AI can help
1. in health communication
- Use: On health portals, with health insurance companies or in prevention programs
- Example: A user calculates his risk of heart attack. Sonny explains which factors influence the risk and gives tips on how to reduce it.
2. in the sports and fitness industry
- Use: On fitness platforms and in health apps
- Example: ScienceFacts analyze physical fitness based on factors such as BMI, activity level and diet. Sonny helps users to classify their results and gives specific recommendations on how they can optimize their training or adjust their diet to achieve their fitness goals faster.
3. in financial planning
- Use: On comparison portals and websites of financial companies
- Example: When calculating the pension gap, Sonny gives advice on which measures can improve the financial cushion for retirement.
How can you save Sonny KI's findings?
As Sonny's declarations are not saved for data protection reasons, there is currently no function to save the result permanently. However, users have the following options:
✅ Take a screenshot of the results
✅ Copy out explanations and recommendations or note them down manually
✅ Recalculate the result and test the effect of changes
Conclusion: More than just a calculation tool
With Sonny AI, every ScienceFact becomes more than just a computing tool - it becomes a personal advisor. With clear explanations and practical recommendations for action, Sonny ensures that users really understand their results and be able to react appropriately.
But please remember: Sonny is only an AI and can make mistakes. It is always worth consulting a human expert when making important decisions.
Would you like to use ScienceFact for your website?
Test Sonny AI in the ScienceFacts
About sonares
sonares with headquarters in Berlin and a worldwide ScienceCommunity was founded in 2013. With the mission of making scientific knowledge accessible through modern technologies, sonares develops interactive tools such as ScienceFacts. These solutions make it possible to prepare complex data in a way that is understandable and usable for a broad audience. The main target groups include website operators, scientists and companies in the field of prevention and health. Through close cooperation with research institutions, professional societies and the use of scientific data, the sonar an important contribution to education and prevention. The company stands for scientific integrity, user-friendliness and the promotion of fact-based decisions to support an informed society.
