Hey friends! As many you you might now, for the past 5 months I've been focused on building AI automations for content, and specifically for LinkedIn. So I just dropped an in-depth tutorial about how to use AI to grow on this platform. Spoiler: 100% automated approach doesn't work. This video gives concrete tactics and actionable systems that you can start using TODAY. Hope you enjoy 🙌🏻 Btw, is there anyone actively growing LinkedIn? IMO it's the best B2B social media platform and many people really underestimate its' potential.

Hey guys, I've spent the last 7 days building this system. I helps you reverse engineer the strategy of any LinkedIn profile. So you can take a top creator from your niche, and have and get a super detailed report on how to replicate their success. Both their content strategy and sales strategy 💰 And I'm sharing this tool 100% free. I hope it helps on your personal branding journey. Use it here: https://www.buildauthority.ai/profile-analysis

Dissertation research. Need papers on machine learning in healthcare. Search PubMed. Search Semantic Scholar. Search ArXiv. Format citations manually. Built 6-node search workflow. 127 papers found. APA and BibTeX citations generated automatically. THE LITERATURE SEARCH NIGHTMARE: Search one database. Switch to another. Download results. Copy citation. Paste into document. Fix formatting. Wrong format. Fix again. 3-4 hours per search query. Citation formatting alone takes 5 minutes per paper. THE DISCOVERY: PDF Vector searches 3 academic databases simultaneously. Code generates both citation formats automatically. Status-based processing. Add query to spreadsheet. Set to Pending. Walk away. Come back to formatted citations. THE WORKFLOW: Schedule trigger checks every minute → Sheets lookup finds queries with Status = Pending → Filter processes only pending rows → PDF Vector searches Semantic Scholar, PubMed, ArXiv → Code generates APA and BibTeX citations → Sheets updates with results and formatted citations. 6 nodes. Literature review automated. THE MULTI-DATABASE SEARCH: Single query hits three databases. Results ranked by citation count. Top 10 most-cited papers returned. Code generates: APA format ready for Word. BibTeX format ready for LaTeX. Both formats. Every paper. THE STATUS-BASED PATTERN: Spreadsheet tracks queries. Status = Pending triggers processing. Status changes to Completed when done. Re-run any search by changing status back to Pending. Research stays current. THE TRANSFORMATION: Before: 4 hours searching databases. 5 minutes per paper formatting citations. Databases searched separately. After: 30 seconds per query. Citations formatted instantly. All databases searched together. THE NUMBERS: 127 papers found across 12 queries 254 citations generated (APA + BibTeX) 3 databases searched simultaneously 48 hours of manual search eliminated Template in n8n and All workflows in Github

I was thinking a lot about the authentic content creation with AI Because so much AI content is complete generic BS Here is my approach to solving it and being real you While using AI to streamline and amplify your voice --- Here is the Google Sheets template: https://docs.google.com/spreadsheets/d/1m5eMU1oAuIlsG_rcVasZC8P_gBQoTMjtSOglOAZsXgs/edit?usp=sharing The n8n template is attached, enjoy 🙌🏻 --- 📌 PS. Want to automate your personal brand like that? I'm picking 5 people for a free case study: https://www.evolva.ai/authentic-personal-brand