I put Muse, Dot, and Instinct to the test. There was a clear winner, but not because it worked best. (www.businessinsider.com)

In a recent hands-on comparison of three AI agents—Meta's Muse, OpenAI's Dot, and Instinct—a user evaluated their performance across tasks such as triaging emails, ordering lunch, and building a personal website. While each AI displayed unique strengths and weaknesses, Muse emerged as the winner primarily due to its free accessibility, making it a practical choice for casual users. Dot excelled in complex tasks, like retrieving important email threads, proving its utility in managing urgent matters. However, the exercise also highlighted the current limitations of these AI agents. For instance, ordering lunch proved cumbersome despite their capabilities, emphasizing that existing tools might be more efficient than relying on AI for simple tasks. Overall, the testing underscores the need for AI to intuitively anticipate user needs rather than merely execute commands, revealing a gap between user expectations and AI functionality. This exploration serves as a valuable reference for the AI/ML community, prompting discussions on improving user experience and functionality in AI agents.