VQV Signal

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Designer says AI pipeline gets transit-map interchanges close, with automated error checks

According to a post on X by @tomjohndesign, after two weeks of testing and failing to get AI to draw correct interchanges on transit maps, he now has a pipeline that gets "unreasonably close." Circles in his demo mark errors the process found, and it retests those checks with each tweak to the build. He describes the work as a side project, and the demo is a video that cannot be watched in the source snippet.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-09T05:55:00+00:00 Detected 2026-11-09T18:23:47+00:00
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According to a post on X by @tomjohndesign, after two weeks of testing and failing to get AI to draw correct interchanges on transit maps, he now has a pipeline that gets "unreasonably close." Circles in his demo mark errors the process found, and it retests those checks with each tweak to the build. He describes the work as a side project, and the demo is a video that cannot be watched in the source snippet.

AI-assisted summary based on the listed source.

@tomjohndesign said that after two weeks of testing and failing to get AI to draw correct interchanges on maps, he now has a pipeline that gets "unreasonably close." Circles in his demo mark errors his process found, which it keeps retesting with each tweak to the build. He called it a side project; the demo is a...

The post points to a way of pairing AI-generated diagrams with automated checks that rerun after every change, which may interest designers and developers working on transit or map graphics. The claim comes from a single side project shared on X, so its accuracy and how well it scales are not established here. Watch for a fuller write-up or a viewable demo that shows how the error checks perform.

Signal Strength 78% Technical label WATCH Public Interest 27 Category CREATOR TOOLS Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 22 Curiosity Score 52 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).