Analyze AI Model Papers → Create Technical Summary → Post to LinkedIn
Automatically analyze breakthrough AI research papers and convert them into engaging LinkedIn posts for thought leaders and technical professionals.
Workflow Steps
Semantic Scholar API
Fetch latest AI research papers
Set up API calls to pull papers tagged with 'world models', 'embodied AI', 'multimodal learning' published in the last 7 days from top-tier conferences like NeurIPS, ICLR, and ICML. Filter for papers with 10+ citations or from notable institutions.
Claude
Generate LinkedIn-optimized summaries
Create a prompt that transforms technical papers into LinkedIn posts: extract key insights, explain in plain English, add business implications, and format with hooks, bullet points, and call-to-action. Include relevant hashtags and mention key researchers.
Buffer
Schedule and publish posts
Queue the generated posts in Buffer with optimal posting times. Add custom images using Canva templates for AI research posts. Set up analytics tracking to measure engagement and refine the content formula.
Workflow Flow
Step 1
Semantic Scholar API
Fetch latest AI research papers
Step 2
Claude
Generate LinkedIn-optimized summaries
Step 3
Buffer
Schedule and publish posts
Why This Works
Research papers are information-rich but poorly formatted for social media. This workflow bridges that gap, positioning you as a curator of cutting-edge AI developments while building authority and engagement.
Best For
AI researchers, tech executives, and thought leaders building their LinkedIn presence
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