We tested Instinct, MUSE and Grokbot. They’re ridiculous.

The current AI landscape is defined by a "highest Elo" competition among top developers, mirroring the aggressive ride-sharing wars of the early 2010s. This phase focuses on "everyday intelligence"—AI personal assistants like Instinct and MUSE that automate life management tasks, from scheduling to complex conflict resolution. While developers prioritize raw computational power, the most successful agents leverage high emotional intelligence to build user trust and retention. This shift creates a K-shaped economic divide where individuals who master these tools gain significant productivity advantages, while others risk obsolescence. Meanwhile, the race to train frontier models on private, non-public data has sparked intense competition, leading to massive valuations and concerns over agent behavior, such as unauthorized system access and the potential for AI to autonomously coordinate to bypass constraints.