First, install the BlackEagleAI extension. Then, configure a conversational large language model in the plugin. If you re only curating articles, configuring just the conversational model is enough you don t need the image generation or vision models.
Steps:
Open a content website you like and choose an article as your topic. You can also let the AI help you pick one.
Summarize the content of this article. You can do this with a one-click summary.
Expand your search to find more related articles. Let the AI generate keywords and use them to search with a search engine.
Summarize the content of the related articles.
Use all the gathered information to generate a new article and save it to your Notion notes. At this point, you have a completely new article that belongs entirely to you.
I m Jacob, co-founder of GPTProto. I ve been in the internet industry for about 10 years, and over the past year, I ve been deep into AI projects. One thing I kept running into was the hassle of integrating multiple AI model APIs each with its own quirks, docs, and maintenance headaches.
So I started building GPTProto: a unified API aggregator for top AI models from around the world from Google, OpenAI, Claude, Midjourney, NovelAI, ByteDance, Qwen, and quite a few others.
I m building a SaaS that helps teams move faster from sales to execution. You describe customer requirements AI generates a proposal converts it into a full project plan with tasks, timelines, and assignments.
The problem I m trying to solve: proposals get approved, then teams waste days manually planning and assigning work.
Curious if founders, agencies, or ops teams here would actually use this. What s missing?
I ve been working on a project called Nack, and I wanted to share it with fellow creators who are struggling with low-quality texture generation.
The Problem: Most modern mobile scanners and generators rely on AI. While it looks cool at first glance, it often "hallucinates" details, creating blurry normal maps and physically incorrect geometry.
The Solution: I decided to go back to the roots. Nack uses a deterministic Shape from Shading (SfS) algorithm. No AI, no cloud servers, 100% offline. It extracts high-frequency details (pores, fabric weaves, stone grains) from a single smartphone photo in just 4-10 seconds.
A lot of blockchain projects fail after their ICO, not because the smart contracts are broken, but because the ecosystem around the token never truly forms. Tokens launch, trading starts, and then usage slowly fades because there is no reason to hold or use the asset beyond speculation.
SALVACoin is a blockchain-based trading and utility token we helped build to address that exact issue. This post breaks down what problem SALVACoin was designed to solve, how the ecosystem was structured, and what lessons emerged while building a utility-driven token platform on the Polygon blockchain.