Five principles for generating readable AI text in bulk
sh_reya · x · 2026-10-30
A FsData Lab blog post on a new usability problem: humans now read AI-generated text feeds at scale — Claude Code/Codex session-title sidebars, Apple Intelligence notification summaries, throwaway dashboards — and these feeds are hard to scan because the items lack predictability and consistency. Drawing on recent project experience, the author proposes five principles for generating readable AI text in bulk, with before/after examples normalizing issue title-summary pairs (consistent openings like "The issue reports that…", distinguishing issues from pages, action-first openers) so every item in a list is predictable, comparable and scannable.
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