@victorialslocum You can see good context engineering in action here. Models on their own do nothing without a good system around them - https://t.co/2GUEaDwJKr
@GithubProjects These type of solutions don't often work with complex documents, checkboxes / signature detection. It is also wasteful to parse the whole document when you just need an api to get an answer and bounding boxes from a page. Give us a try! https://t.co/LN4k7PRebA
@akshay_pachaar These type of solutions don't often work with complex documents, checkboxes / signature detection. It is also wasteful to parse the whole document when you just need an api to get an answer and bounding boxes from a page.
https://t.co/LN4k7PRM18
Chad IDE (@cladlabs) is the brainrot code editor.
AI coding takes 1–5 min between prompts—too long to ignore, too short to start something new.
Chad integrates your brainrot (X, IG, Stake, Tinder, etc) into your agentic coding workflow and helps to manage your context-switching.
Less doom-scrolling. More shipping.
I just asked this app across a 12 page insurance form a complex question about fire risk.
Ninjadoc found the correct checkbox on the 8th page + bounding box coordinates.
Q&A setup, no training required, ready for API use.
Context-aware extraction for the hardest documents.