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The author discusses the limitations of managing AI agent workflows via chat interfaces like Telegram with OpenClaw, advocating for dedicated dashboards and standardized UIs. They highlight emerging tools like Paperclip and Multica that aim to solve agent management issues.
The COWCORPUS project, a study of 4,200 human-AI interactions, found that agents predicting their own failures and intervention moments are more useful than those simply trying to avoid errors. Researchers identified four stable trust patterns in human-AI collaboration and developed the Perfect Timing Score (PTS) to measure intervention prediction accuracy.
The author explores the affordances of a screenless writing interface, noting its suitability for first drafts and stream-of-consciousness writing while highlighting limitations in editing and context retention.
A 2026 blog post revisits M.H. van Emden’s 1982 vision of “Computer-Aided Thought” and argues that today’s conversational LLMs fail to deliver the structured, logic-based, friction-generating interlocutor he envisioned.
This paper presents WriteFlow, an AI voice-based writing assistant designed to support reflective academic writing through goal-oriented interaction, addressing limitations of efficiency-focused writing tools by scaffolding metacognitive regulation and goal articulation. Findings from a Wizard-of-Oz study with 12 expert users demonstrate that the system effectively supports iterative goal refinement and goal-text alignment during the drafting process.