AI Agent System | Analyze arXiv AI Research Papers | StackAI

Want 1000+ FREE ChatGPT Prompts? Go here: 👉 https://sabrina.dev/c/prompts Want to SCALE your business with content? Go here:👉 https://Blotato.com I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators and solopreneurs to grow on multiple social platforms just like me (0 to 500k+ in 6 months solo). How I got here… 0: Born in Quezon City, Philippines 🇵🇭 22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans. 23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare. 25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit. 26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI). 28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment. 30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total). 31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents. 32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape. 33 yrs old: Started making free content to teach 1 million people AI. 34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, no team, $0 paid ads, no masterminds. Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 100s of creators & solopreneurs use Blotato's easy AI Automations to grow faster. Get 3x/week FREE AI prompts, playbooks, and podcasts 👉 https://www.sabrina.dev/subscribe --- I build a multi AI Agent System that analyzes new arXiv AI research papers from several distinct perspectives: Deep learning researcher agent: extract interesting deep learning methods that are related to paper Theoretical mathematician agent: figure out theoretical mathematical concepts that are important in this paper and additional theoretical references that will be useful in understanding it Skeptic agent: find unjustified assumptions I use low-code agent builder platform, StackAI, despite its limitations.