take a look at modelrift.com, it is built around annotating built models by basic pen and arrow tools, works fairly well ('smarter' model is significantly better)
I agree, my main concern regarding Google AI products is this endless pain around the UX of login / billing / upgrades / product sunsets... but their LLM models are good and Antigravity 2.0 is not that bad either (unless you lost all you Antigravity 1.0 setup and projects - like many people did)
Also check out modelrift.com which is based on openscad foundation. See the dynamic customizer which allows to edit any model parameter, re-render and get .stl: https://modelrift.com/models/customizable-liquid-funnel - it works _completely_ in your browser by using WASM
Thank you for this feedback, very valuable!
I am using Bambu as well - perfect to get things printed without much hassle. Not sure if direct push to printer is possible though, as their ecosystem looks pretty closed. It would be a perfect use case - if we could use ModelRift to design a model on a mobile phone and push to print..
it is interesting that the video demo is generating .stl model.
I run a lot of tests of LLMs generating OpenSCAD code (as I have recently launched https://modelrift.com text-to-CAD AI editor) and Gemini 3 family LLMs are actually giving the best price-to-performance ratio now. But they are very, VERY far from being able to spit out a complex OpenSCAD model in one shot. So, I had to implement a full fledged "screenshot-vibe-coding" workflow where you draw arrows on 3d model snapshot to explain to LLM what is wrong with the geometry. Without human in the loop, all top tier LLMs hallucinate at debugging 3d geometry in agentic mode - and fail spectacularly.
If you like OpenSCAD, you should check https://modelrift.com which is an OpenSCAD browser-based IDE which uses LLM to generate .scad and instantly shows the .stl 3d model result via 3d model viewer. Since AI models are still not good at openscad, the useful feature of modelrift is the "screenshot-powered" iteration where human annotates visual problems and sends it back to AI assistant to fix, all using hotkey shortcuts.
It is a (rather messy) node.js codebase. Two rendering engines, including a hacked puppeteer package with stealth mode for better success rate. A big set of proxy providers under the hood. Bootstrapped.
I use Clickhouse to store close to 1TB of API analytics data (which would be 10TB in MongoDB, Clickhouse has insane compression ) and it's a wonderful and stable SQL-first alternative to DuckDB - which is a very exciting piece of software, but is indeed too young to embed into boring production. The last time I checked DuckDB npm package, it used callbacks instead of awaits..