This is a submission for the Runner H "AI Agent Prompting" Challenge
What I Built
AutoReviewer AI is an autonomous agent that acts as a daily research assistant for AI/ML enthusiasts, researchers, and developers. It automates the process of tracking, filtering, summarizing, and categorizing the most recent and relevant content from trusted sources such as arXiv, GitHub Trending, and Medium.
Every day, it delivers a neatly formatted Markdown newsletter highlighting:
- The newest and most impactful AI research papers
- Trending open-source tools and repos
- Interesting articles and use cases in GenAI and ML
đź”— GitHub Repo: github.com/rahul-bhave/AutoReviewerAI
Demo
🎥 Demo Video:
How I Used Runner H
Runner H was instructed to carry out a multi-step autonomous process:
🔎 Fetch Content
- RSS feeds from arXiv (
cs.LG,cs.AI,cs.CL,stat.ML) - GitHub Trending filtered by ML/AI
- Medium articles using keywords: “Generative AI”, “Machine Learning”, “AI use cases”
🧠Filter & Classify
- Only content published or updated within the last 2 days is considered
- Items are categorized into: GenAI, ML, NLP, Tools, or Open-source Projects
- Every paper or repo is summarized in 2–3 lines
- Optionally includes use cases or critiques
đź“„ Format Output
- Uses Markdown to generate a clean, categorized newsletter grouped by topic
- Ready to share in email, Slack, blog posts, or personal reading feeds
To record the demo I have used Runner H UI as I consumed all 10 runs provided with my login for my testing and recording :), however entire codebase to make this process automate is available in the GitHub repo shared with this submission.
Use Case & Impact
This project is built for researchers, AI developers, and tech-curious professionals who are overwhelmed by the volume of new content but want to stay ahead of the curve. It turns a noisy landscape into a curated, actionable summary quickly.
Who Benefits
- AI/ML practitioners in academia or industry
- Founders & product leads in GenAI
- Students or job-seekers needing daily awareness of trends
Impact
- Saves hours of manual scanning and summarizing
- Ensures you never miss important releases
- Gives actionable insights on how new research can be applied
Social Love đź’™
Thanks to Runner H and H Company for creating such a powerful platform — the potential of autonomous AI workflows is just beginning to unfold.
Let me know if you'd like to try AutoReviewer AI in your own workflow! 🚀
Top comments (2)
This is a great project, but I wonder if relying mainly on sources like arXiv, GitHub Trending, and Medium might miss out on important discussions happening in other forums (for example, specialized Slack groups or conference proceedings). Have you considered how to include more diverse sources? I'd love to hear your thoughts!
Thank you for the insightful feedback! You're absolutely right—while arXiv, GitHub Trending, and Medium offer a rich stream of technical content and emerging tools, they don't always capture the full spectrum of conversations happening in more informal or niche spaces like Slack groups, Discord communities, or even conference hallway chats.
I’ve been thinking about ways to broaden the scope of AutoReviewer AI. Some ideas include:
That said, I’m also mindful of keeping the digest concise and actionable. So I’m exploring ways to balance breadth with clarity—perhaps through optional “deep dive” sections or user-customizable feeds.
Would love to hear if you have favorite sources or formats you think should be included!