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For instance, a user can develop an AI-based framework for tasks like software development, financial analysis, or scientific modeling. By sharing code snippets, instructions, and workflows via repositories like GitHub, the AI system can be continually refined and adapted. This dramatically reduces the time spent on routine or complex projects, boosting overall productivity.
When combined with personalized AI agents resembling "trusted advisors," users can receive tailored guidance and support across different domains—whether for creative work, technical tasks, or scientific research—enhancing user efficiency and output quality.