15:I[981,["511","static/chunks/511-fc0d2f24caf5741b.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-347af3707a752b1a.js"],"Posts"] 16:T560,Hi everyone,

I've been working on an open-source project called Deep Research OSS and would love to get some feedback from the community.

I was frustrated by AI research tools that only performed a single/double-pass search and often missed important details.

To solve this problem, I built a multi-agent pipeline that mimics how a human team works.

First, it creates a broad plan. Then, it uses agents to conduct research. Finally, it has another agent perform a gap analysis to identify missing information and assign new tasks to dig deeper. Additionally, to avoid errors, AI is forced to use code execution for all numbers in the report.

The whole thing is built specifically for the Gemini API to see how far it can be pushed. I've been using it for my own stock analysis, and the iterative process seems to generate much more comprehensive reports.

It's still a work in progress, and I'm sure there are better ways to approach this. I'm looking for contributors and feedback to improve the pipeline and make it more robust.

If you're interested in multi-agent systems or just want to help build a better research tool, you can check out the repo.

https://github.com/zyakita/gemini-deep-research-oss17:T47d,I built Paletra (https://paletra.cc) to simplify the frustrating workflow of designing accessible color palettes across light and dark modes.

The idea came from a designer I work with - she was using ChatGPT to generate tints, Coolors to visualize them, and WebAIM to check contrast, all before copying them into Figma.

Paletra aims to streamline all that:

- Generate tints, shades, and dark mode versions

'Will you leave US for China?' It depends, mathematician Terence Tao says