Henrique
@ickas
Anyone talked about agents? I want to dive deeper into /ai and LLMs more and more! Agents aren't just complex systems, they're strategic problem-solvers designed to navigate challenges with precision. They should remain simple, adding complexity only when it genuinely enhances outcomes. Employing multiple workflow patterns—like routing and parallelization—across various use cases is the golden rule to maintain simplicity. Otherwise, the code becomes a tangled mess. AI agents will be the (next) future and can be applied across multiple use cases, from revolutionizing customer support with personalized interactions to accelerating software development and tackling intricate problem-solving scenarios.
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Henrique
@ickas
Yet, the success of AI agents isn't confined to complex tasks or professional environments. Their potential extends into our everyday lives, transforming how we handle personal tasks, whether big or small. Imagine an agent that organizes your schedule every day, or an agent that will schedule a padel game where there is a field available for a specific time. These agents are here to assist and shoulder the workload, seamlessly integrating into our routines and enhancing our productivity and quality of life.
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