Scrape AI Architecture Papers → Summarize → Share Team Updates
Automatically monitor new research on AI system architectures and distribute digestible summaries to keep your engineering team current on infrastructure innovations.
Workflow Steps
Zapier RSS Trigger
Monitor arXiv for new AI architecture papers
Set up RSS feed monitoring for arXiv categories cs.AI and cs.DC (distributed computing) with keywords like 'architecture', 'infrastructure', 'distributed AI', and 'compute optimization'.
OpenAI GPT-4
Generate technical summaries of papers
Use GPT-4 API to create 200-word technical summaries focusing on architectural innovations, performance implications, and practical applications for production AI systems.
Notion
Organize summaries in research database
Automatically create new database entries with paper title, authors, summary, architecture type tags, and implementation difficulty ratings for easy team reference and searching.
Slack
Share weekly digest with engineering team
Compile the week's paper summaries into a formatted Slack message posted to #ai-research channel every Monday, highlighting the most relevant papers for current projects.
Workflow Flow
Step 1
Zapier RSS Trigger
Monitor arXiv for new AI architecture papers
Step 2
OpenAI GPT-4
Generate technical summaries of papers
Step 3
Notion
Organize summaries in research database
Step 4
Slack
Share weekly digest with engineering team
Why This Works
Combines arXiv's comprehensive research feed with GPT-4's ability to distill complex papers into actionable insights, ensuring teams don't miss critical infrastructure innovations
Best For
AI engineering teams need to stay current on architectural research without spending hours reading papers individually
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