@sh_reya
i'm restarting my blog! i want to kickstart productive conversations around: what should AI agents look like for hard, subjective knowledge work? a lot of agent setups work well when tasks are objective and easy to verify. but many workflows (e.g., qualitative analysis, strategy, sensemaking) are messy and interpretive. as a first post, i explore different ways of doing agent-assisted qualitative analysis on tweets, with varying levels of human feedback/intervention. tldr: they all kinda sucked. turns out it’s hard to: (a) stop agents from converging too quickly on shallow interpretations (b) get agents to adapt to preferences that emerge gradually across many turns (i.e., evolving context) (c) capture human judgment without making humans fatigued