Always-on personal agents need a complete feedback loop Shuai Liu (@choiszt) shared the preprint Always-On Personal Intelligence: A Roadmap Towards Continuing, Self-Evolving Loops, posted on November 9, 2026. The authors organize personal assistants around sensing, memory and action, and introduce HALO to assess how these parts work together. Their review identifies particularly weak support for memory guiding sensing and for action outcomes returning to memory. Our takeaway for agent builders: retaining information is only part of the problem. A useful evaluation should also ask whether past outcomes change what an assistant notices and does next, within the user's permissions. Preprint: https://doi.org/10.20944/preprints202611.0793.v1