This content originally appeared on DEV Community and was authored by shaaz21
This is a submission for the Runner H "AI Agent Prompting" Challenge
What I Built
I built an AI Research Synthesizer Bot using Runner H that automatically fetches the 5 most recent AI papers from arXiv, summarizes the key findings, methods, and contributions of each, and delivers a clean, formatted Google Doc straight to my inbox.
🧠 Use Case:
As a student constantly trying to stay updated with the fast-moving AI research landscape, this agent saves me hours every week by doing the heavy lifting — finding papers, extracting insights, and organizing it beautifully for reading later.
Demo
📹 Video Demo: https://www.loom.com/share/8cd107f70a5b47dd9a2ab86fd51a8efd?sid=ede73fbd-2279-4843-82d5-12e894638c4c
📩 Sample Email Received:
Hello,
Your weekly summary of the latest AI research papers is ready. Please find the document, "🧠 Weekly AI Research Digest – July 2025" uploaded to your Google Drive. Here is the link to access the document:
Weekly AI Research Digest – July 2025
The summaries included cover a variety of innovative AI topics including enhancements in reinforcement learning, benchmark evaluations, ethical considerations in AI safety, zero-shot medical diagnosis, and incorporating movement as a core AI modeling strategy.
If you have any questions or need further insights, feel free to reach out.
Best Regards,
Your AI Assistant
📝 Google Doc contains:
- Paper title + authors
- 🔍 Key findings
- ⚙️ Methods
- 🎯 Contributions
- 🔗 arXiv link
How I Used Runner H
Runner H did all the work from one single natural language prompt!
Prompt used:
“Get the 5 most recent AI papers from arXiv, summarize key findings and methods, compile them into a Google Doc, and email it to me.”
I used the following tools inside Runner H:
- @Fetch – to call the arXiv API and retrieve latest papers
- Surfer H (GPT) – to summarize abstracts into structured summaries
- @Google Docs – to create a formatted research digest
- @Gmail – to send me the completed summary document
The workflow is fully autonomous. I simply run the agent weekly and receive my digest — no manual steps required!
Use Case & Impact
This agent is perfect for:
- 👩🎓 Students in AI/ML programs
- 🧑🔬 Researchers who need weekly digests
- 🧠 Anyone learning from arXiv papers but overwhelmed by volume
Instead of wasting time digging through abstracts, this agent delivers the top 5 AI papers, summarized intelligently, straight to your inbox — formatted, readable, and actionable.
It’s also extensible — you could expand it to:
- Weekly newsletters
- Notion database updates
- AI reading clubs
- Professor-led lab updates
💬 Social Love
📢 Shared on:
✨ Let me know what you think or suggest improvements!
Thanks to Runner H and H Company for making this type of automation possible without writing a single line of code!
This content originally appeared on DEV Community and was authored by shaaz21
shaaz21 | Sciencx (2025-07-05T07:59:27+00:00) 📚 Research Synthesizer Agent: Get Weekly AI Paper Summaries via Email [Runner H Challenge]. Retrieved from https://www.scien.cx/2025/07/05/%f0%9f%93%9a-research-synthesizer-agent-get-weekly-ai-paper-summaries-via-email-runner-h-challenge/
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