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— Charly Wargnier (@DataChaz) 15 juin 2025
Nate supercharged AI agents with full observability using @n8n_io!https://t.co/j35mG9GyFQ
4/ Nate supercharged AI agents with full observability using @n8n_io
!
@datachaz
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Nate Supercharges AI Agents with Full Observability Using n8n
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Full Marketing Agent Built with n8n Automation
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— Charly Wargnier (@DataChaz) 15 juin 2025
He also built a full-on marketing agent with n8n.
This one generates images, grabs assets, writes posts, and logs every step! 🔥https://t.co/V6w1wjQ9SH3/ He also built a full-on marketing agent with n8n. This one generates images, grabs assets, writes posts, and logs every step!
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n8n Research Agent Powered by Firecrawl Search Endpoint
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— Charly Wargnier (@DataChaz) 15 juin 2025
Nate turned n8n into a full-blown Research Agent, thanks to @firecrawl_dev 's new /search endpoint! 🤯https://t.co/MSm9ofZ7zZ2/ Nate turned n8n into a full-blown Research Agent, thanks to @firecrawl 's new /search endpoint!
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9 Killer n8n Use Cases for AI Automation
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… and that was only the tip of the iceberg of what you can do with n8n! Below are 9 more killer use cases from Nate! ↓
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Autonomous Browser Agent with n8n and Airtop Integration
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Ace!
— Charly Wargnier (@DataChaz) 15 juin 2025
Nate Herkelman turned @n8n_io + Airtop into a fully autonomous browser agent! 🤯
It:
↳ spins up a remote browser
↳ reads the screen like a human
↳ clicks, types, decides what to do next
↳ works on any site — no code needed!
18min tutorial + 9 killer use cases in 🧵 ↓ pic.twitter.com/rig5CUhAURAce! Nate Herkelman turned @n8n_io + Airtop into a fully autonomous browser agent! It:
↳ spins up a remote browser
↳ reads the screen like a human
↳ clicks, types, decides what to do next
↳ works on any site — no code needed! 18min tutorial + 9 killer use cases in ↓ -
Fine Prompt Engineering Suggestions for AI Improvement
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It also gives you suggestions and areas to improve! a damn fine prompt from @searchbrat
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O3 prompt applies Ogilvy copywriting principles scoring web pages
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Spotted this ace o3 prompt from Kieran Flanagan (aka @searchbrat
) on LinkedIn: it uses Ogilvy’s copywriting principles to score your web page and tell you exactly how to improve it! Here’s how it works This prompt will:
– Take a URL
– Extract the web copy
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Two AI Minds Share Insights on LLMs and Agents
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Written by two of my favorite minds in the #AI space: @maartengr and @JayAlammar If you found this useful, a like or RT is always appreciated! Follow me → @datachaz for insights on LLMs, AI agents, and data science!
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Hardcover Book on Large Language Models Now Available
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you can buy the hardcover book on Amazon:
↳ https://
amazon.com/Hands-Large-La
nguage-Models-Understanding/dp/1098150961
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Hands-On Large Language Models GitHub Repository
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here's the repo link:
↳ https://
github.com/HandsOnLLM/Han
ds-On-Large-Language-Models?tab=readme-ov-file
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