Summary
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.
What happened
@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...
Why it matters
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 Intelligence
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
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).