I thought so too... but if you refresh the page, it's just a pre-baked animation. A fun idea for somebody though; a little aquarium full of bots doing fake office tasks (I'm sure it's been done already).
The animations are CSS-driven, but the data behind them is real — agent heartbeats, task counts, and activity logs are pulled from actual systemd timer outputs. It's not a mock dashboard, though I'll admit the visual polish probably makes it look more "produced" than a typical monitoring tool.
"Fake it till you make it" in a nutshell. Half the AI wrappers on the market do the exact same thing: they render pretty activity charts that have absolutely zero correlation with actual VRAM consumption or server-side inference latency
Guilty as charged on this one. The dashboard visuals are CSS animations — the data behind them isn't live yet. I've been trying to pipe real systemd logs into it but haven't cracked the architecture cleanly enough to ship it. It's on my list, just not done.
Should've been clearer about that in the post. Thanks for pushing on it.
Excited to see AI integrations into more non-text-related applications (coding, spreadsheets, proofreading etc). As someone who only occasionally needs to edit videos for product / feature reels, I'd happily ask an AI to "sync the narration to the video, cut away irrelevant footage, and add transitions". The convenience of being able to automate simple, repeatable tasks in creative software via ai is something that gets overshadowed a lot by the agentic coding discussions. I can only imagine the nightmare it would be for a tool like Premier to integrate effective ai features, so new ai-in-mind tools really feel like a necessity.
you understood well what we are building. non-text domains certainly have additionally challenges and we're working on making it reliable without learning curve.
also, appreciate the kind words on the site — give Cardboard a spin next time you need a product reel!
Product designer and developer with years of experience working with internal-facing enterprise tools. Formerly a UX designer, now a hybrid engineer, product designer, and manager developing AI tools for a fortune 50 company. Looking to work with serious, experienced people somewhere with a more robust plan for AI integration and tooling.
As a designer/dev working on AI for customer service tools, who has to constantly reminding stakeholders that LLMs aren't creative, aren't good at steering conversations, etc. I wish there was more focus on integrating AI into tools in ways that make work faster, rather than trying to do-it-all. There's still so much low-hanging fruit out there.
Other than the obvious (IDEs), wish there were more tools like Fusion360's ai auto-constraints. Saves so much time on something that is mostly tedious and uncreative. I could see similar integrations for Blender (honestly the most interesting part of what op posted is changing the materials... could save a lot of time spent connecting noodles).
Tedious tasks, like retopologising, UV unwrapping and rigging would be great examples of where AI in tools like Maya and Blender could be really useful.
4 years ago people were amazed when you could get GPT-3 to make 4-chan greentexts. Now people are unimpressed when GPT-5 codes a working language learning app from scratch in 2 minutes.
Oh a working language learning app? Like one of the hundreds that have been shown on HN in the past 3 years? But only demonstrated to be some generic single word translation game?
