Artificial intelligence is rapidly advancing, together with its potential for task automation. This paper discusses a new AI powered desktop application that uses the Large Language Model (LLM) engine to help its users automate tasks on their local Linux machines. The first component integrates a Chat Engine, which receives the user’s input and preserves the dialogue history. So, using pre-processed prompts, this engine describes task goals and functions that are available. And the LLM develops the final task in several stages based on these descriptions. The next stage in this process is the Response Formatter, whose task is to prepare instructions in response to the actions of AI Agent, so that they can be performed in order by the Execution Engine. A semantic level respecting the recursive architecture of the system enables it to decompose complex workflows into smaller subtasks and call on nonsense whenever it is needed. Based on seamless integration of generative AI and local machine control, this addresses the gap between natural language and task execution and hence become a useful tool for AI based Linux task automation.