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  "path": "/t/ai-observer-runtime-aware-dev-agent/1381483#post_6",
  "publishedAt": "2026-05-23T10:32:07.000Z",
  "site": "https://community.openai.com",
  "textContent": "Follow-up: direct user feedback about listening and simplicity\n\nI want to add direct UX feedback from this same long project session.\n\nThe biggest failure is not raw coding ability. The biggest failure is listening, restraint, and protecting the working baseline.\n\nThe user had a manual workflow and a human-made etalon that worked. The assistant did help with some real wins: automated button clicking and a cleaner visual launcher. But too often it drifted away from the etalon, made second and third versions, added complexity, watched the wrong signals, spent tokens on theory, and did not stop fast enough when told to stop.\n\nFrom the user side, this feels like working with a schoolkid who keeps doing extra work instead of learning the actual instruction. A simple task that worked by hand becomes fragile because the AI wants to redesign it.\n\nThe requested behavior is simple: protect the etalon, keep the popup as a launcher, keep workers doing the work, verify the live browser/runtime before claiming success, and answer briefly. Simplicity should be treated as a hard product requirement, not a style preference.\n\nThere is still a valuable idea here: an AI helper that talks, observes, and helps simplify future ideas with saved context for each job. It should remember the exact working baseline and ask: do you mean this same etalon? It should watch the current browser, popup, console, worker state, and DOM, then give focused feedback without inventing a new architecture.\n\nThe assistant should not try to be clever first. It should listen first, preserve what works, and only simplify or automate the next step.",
  "title": "AI Observer / Runtime-Aware Dev Agent"
}