It would be great if it could have examples of your own diagrams in its context, so it knows what points you like to map out and how you like to visualize them
That’s awesome! My inspiration was the IBM YouTube channel where they write on the board in front of them, maybe you could use the white canvas as like a green screen or something to get a similar effect?
The potential use cases was my favorite part of designing it, it’s not perfect now but it’s so fun to think what people might do with these kinds of designs in the future
Yes I would love to see some work on the design, because I think it could be useful, just needs some speed and accuracy improvements, and maybe some design towards specific use cases
Yes it could get a lot better with some design improvements, maybe live streaming the transcription, and maybe after some trial and error testing the best + fastest model for the job
This is excellent feedback thank you! These LLMisms in writing are a challenge I am living with currently and trying to improve on. The technical writing industry is taking a huge knock right now with companies demanding more work in less time with a big drop in quality, day to day I get less and less time to work on the quality in the prose of my work. We are working at the frontier of this right now, so we are the most heavily effected, but also get to experiment with the changes first which can be both stimulating and very frustrating.
Hi, author here, I cannot give an exact number for how many token the verification step took, but the verification GLM 5.2 ran was very stupid and definitely a waste of time. It read the pixel color data to try and verify the scene rendered properly. Which is really bad. Opus opened the game in a Playwright browser and took screenshots to verify the actual image. Which helped a lot.
Pro tip: You could use a multi-modal model to verify images as a subagent spawned by GLM 5.2, to get around this issue.
Yes, part of the reason I chose the one-shot test was really to test long-running tasks. A lot of people seem to be experimenting with this format, for example in the now trending loop-writing workflows. And really I am interested in diving into the murky waters of these novel workflows.