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AutoReviewer AI is an autonomous agent built using Runner H

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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
GitHub Repo: github.com/rahul-bhave/AutoReviewerAI

2 Comments

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Nice project—AutoReviewer AI sounds like a great tool to keep up with the fast-paced AI/ML world! How do you handle filtering noise versus truly impactful content in your summaries? Would love to know more about your ranking or relevance algorithms.

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RunnerH is a good AI. Can't imagine it'd possibilities.

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Rahul Bhave
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