Compare a piss-tinted LLM-generated diagram with 80 pipes, flows and generic names everywhere to a seemingly hand-drawn sketch.
I have had my Exaclidraw connected to an agent through their MCP and I have gotten way more attention/time/reads on both blogs and papers because of the illusion of being human-made/hand-drawne making it more palatable.
There's been a few of these things on the front page lately. Including false "whiteboards" that are DSL abstractions over things like React Flow...
I've done quite a bit with Excalidraw MCP and the models had to deal with a lot of JSON data and estimating/computing with bounding box and pixel point numbers.
But with HTML, the agents get the natural semantics/styling capabilities and basically zero abstraction. The recent models can draw exceptionally well any form of logical/conceptual/flow diagram.
I guess the frustrating bit is that the readme is 100s of lines long. AI is already saving you so much time on a project like this but you still make me clone and spin it up if i want to see it for real.
I get that open source is a gift and you’re not obliged to do anything I say but please consider taking the extra few minutes on your next project.
Most of the project pages I have seen with videos either animate things at hyper-speed, meaning you can't actually follow is what happening, or drag on for minutes just to communicate something that I could have read in seconds. My time is more valuable than that.
Images are cool, however. We should do more of those.
Especially if the project is web-based it can just spin up playwright and record its actions.
Definitely Opus 5.5 via claude code has no problems generating Excalidraw images with no additional software, just based on conversation.
For example /r/art banned AI-generated content without a process due to this anti-automation bias, however you can now generate the process by using MCP-server tool calls into the software.
So there is a big attention market as long as you can keep up with things that seemingly looks like they had human effort.
Any advice? Everything seems clunky, even the best MCP efforts
Which was at least fun for a bit although I failed to really see the use after models became better at designing themselves.
I have yet to see an AI generated visual diagram that doesn't feel like slop though... I'd be very interested in examples of actually-good diagrams workflows if anyone has seen them.
[0]https://mcp.excalidraw.com
[1]https://github.com/excalidraw/excalidraw-mcp