{
"$type": "site.standard.document",
"bskyPostRef": {
"cid": "bafyreid7ayqvz7ntczynbq2vhkgp2rkyxttx26xggjb7ek26vsh62iynqq",
"uri": "at://did:plc:lk3jfj3zq4k4wxnk474axylu/app.bsky.feed.post/3mmiexmau2aa2"
},
"path": "/t/ai-observer-runtime-aware-dev-agent/1381483#post_5",
"publishedAt": "2026-05-23T01:27:15.000Z",
"site": "https://community.openai.com",
"textContent": "Follow-up: Lens mode / screenshot-to-action\n\nA related interaction pattern is a visual lens mode, somewhat like Big Picture overlays or screenshot selection tools, but connected to the runtime assistant.\n\nThe user presses a lens button, selects an area of the screen, and the AI uses vision to understand what that area contains. It should then map the selected visual region back to the real target when possible: a DOM node, a browser button, an app control, a popup element, a terminal line, or a process/window.\n\nThis is important because users often do not want to explain the UI verbally. They want to point at the broken place. The assistant should be able to say: I see the disabled button here, I found the matching DOM element, I see the console error connected to it, and I can test or suggest the focused fix.\n\nThe key is not only taking screenshots. The vision has to be actionable. A screenshot crop should become an anchor into the live runtime: screen region to UI element, UI element to logs/state, logs/state to next action.\n\nThis would make the assistant feel much more practical: click lens, highlight the problem, and the AI finds the place, waits for the button/state if needed, and continues from there.",
"title": "AI Observer / Runtime-Aware Dev Agent"
}