Bachelor Thesis

Abstract

This bachelor’s thesis offers a structured exploration of the concept of AI agents, a term frequently used in various contexts without a precise definition. The work focuses on the analysis and practical implementation of intelligent agents using various tools and orchestration frameworks. The thesis presents a comprehensive methodological framework for understanding the AI agent ecosystem as well as the distinctions between LLMs, agentics, and AI agents.

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Relevance to My Work

The research conducted as part of this thesis forms the methodological foundation for the approaches used in intelligent automation. The frameworks, architectural models, and best practices developed during this study are directly applied and continuously refined in my projects.

Bachelor's Thesis Award

This thesis received the highest possible grade of 6/6. It was also honored with the Economics and Services Award for the best Bachelor's thesis on a societal topic, presented by HES-SO.