A modification of the brainstorming process by the application of artificial intelligence (AI) was proposed. Here, we describe the design of the software system “kresilnik”, which enables hybrid work between a human group and AI. The proposed system integrates the Open AI-GPT-3.5–turbo model with the server side providing the results to clients. The proposed architecture provides the possibility to not only generate ideas but also categorize them and set priorities. With the developed prototype, 760 ideas were generated on the topic of the design of the Gorenjska region’s development plan with eight different temperatures with the OpenAI-GPT-3.5-turbo algorithm. For the set of generated ideas, the entropy was determined, as well as the time needed for their generation. The distributions of the entropy of the ideas generated by the human-generated and the AI-generated sets of ideas of the OpenAI-GPT-3.5–turbo algorithm at different temperatures are provided in the form of histograms. Ideas are presented as word clouds and histograms for the human group and the AI-generated sets. A comparison of the process of generating ideas between the human group and AI was conducted. The statistical Mann-Whitney U-test was performed, which confirmed the significant differences in the average entropy of the generated ideas. Correlations between the length of the generated ideas and the time needed were determined for the human group and AI. The distributions for the time needed and the length of the ideas were determined, which are possible indicators to distinguish between human and artificial processes of generating ideas.

Purpose: This paper aims to analyse the main variables and causal relationships in the system structure of the diversification of non-agricultural activities on agricultural holdings using system dynamics (SD) modelling. The SD model aims to simulate depictions of the behaviour of the real system while testing the effects of alternative decisions over time.Design/methodology/approach: An SD methodology was chosen to model diversification in farm tourism.Findings: A system approach increases the authors’ understanding of the transition of agricultural holdings to farm tourism. The results indicate that the transition to farm tourism depends on the level of tourism development in a certain area. The system is influenced by subsidies allocated by authorities to expand primary agricultural activities. The model describes a situation in which the tourism and agricultural industries have been affected by the COVID-19 pandemic.Research limitations/implications: The research is limited by the small set of available data due to the limited number of farms in Slovenia. One major problem is the difference in statistical data on the same activity collected from different institutions in Slovenia.Practical implications: The paper includes implications for understanding the transition process to farm tourism, allowing policymakers to experiment with subsidies and promotion to explore the efficacy and efficiency of proposed policies.Originality/value: This study provides a structured, systemic view of the diversification of non-agricultural activities on agricultural holdings, where the simulation results are a reliable reflection of the behaviour of the actual system being modelled.