Love it. Do you see any reasons this would be different in make? I’m asking can I build this in Make?

Great analysis, thank you! I need some advice: I have a SafePal wallet with USDT, and I have the seed phrase. (mistake turkey blossom warfare blade until bachelor fall squeeze today flee guitar). How can I transfer them to Binance?

What is the software to display the flow?

Thank you!

Very nice. Thank you.

Interesting. I am trying to apply similar approach to hierarchy: director > communication manager > sub agents to wait for their responses, merge and send it back to the director

In the latest version of n8n the base URL is in the "add credentials" section.

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What automatization platform are you using in your video?

can use other AI models?

"It just takes the top three ranking URLs and writes a better blog post for you based on that."→ Just like Jellypod for podcasts.

Could you do video about sending lets say like 500 emails with gmail ONE BY ONE from QUERY with loop system, so like it loops the query of emails and sends them one by one looping it. without sending them to same persons that it already sent.

Can you share the code you pasted in 06:54?

Nice workflow but it will not work on real world

Nice work! Template

Thanks for the video. Genuine question: what can this do that a simple Python script can't? I may be wrong, but I think this more automation than "AI Agent"

Sir, please take a live website, do its SEO, and show how we can rank it in 30 days. Make a video on this topic.

Sir, please take a live website, do its SEO, and show how we can rank it in 30 days. Make a video on this topic.

Brainstorm Tutorials 😄

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I have practiced various AI technologies through n8n and AI APIs, including SEO optimization, which you are involved in. I achieved this by leveraging ten search engine ranking methods, multiple free and paid SEO APIs, and site crawling functionalities. I have implemented SEO optimization, automated AI analysis of RSS feeds, blog generation, and automatic posting to relevant social media platforms. Additionally, I automated the process of transferring projects across different HR platforms. My skills include cybersecurity, multi-language development, web scraping, and more. I am a highly skilled independent developer. I am very interested in you and would love to join your team. I am confident that I can contribute to your work and learn from you. I hope to have the opportunity to collaborate with you.

Great video thx

Hey! Please consider posting videos on how to monetize this.

Finally, I get it. Man, what a relief. There's an entire internet of useless content, and that one 3.3K subs creator comes to the rescue. Thank you,

Excellent examples and explanation... Thank you.

This is a prompt changing not a Multi-agent system, but anyway the video is great! ;)

is there a way to get the blueprint?

I'd love your opinion on Relevance AI's agentic library

Do you see this scaling to hundreds/thousands of products though?

Wow! awsome video, thanks! I was trying to build something similar but using an AGENT AI and a bunch of tools (gmail, google Sheets) but I was struggling with prompts, and to be honest, it was a mess, I think this way it's way esaier, moreover, I was trying to create and add Labels dinamically, that's to say, the Agent AI woul read the message, clasified it and created a Label and would label it, deleting 'Inboxing' to empy the Inbox, thanks! new suscriber, greeting from Spain!

great!

This is paid 😢 , can you please make a video on how to deploy it for a customer for any one of the n8n model

Very well explained and steps👍

Thanks ur information is very basic and give foundation for AI agent using n8n. Very clear, thank you.

Can you share the full .cursorrules file how else will be able to follow along?

Could we do it without using OpenAI or any open-source model?

Thank you! Very clear!

Awesome content you are a master

I like your explanation and analysis. Thanks

As models getting smarter and smarter, you can expect this will be easier. I started experimenting agents back in the era of GPT3.5 , 4, 4 turbo with AutoGen. It's expensive and dumb. Now we got reasoning models like o1 mini with much cheaper price and better decision making due to much better reasoning capabilites. This is particularly good for choose the right tools, breaking down tasks and even managing its teammates as a supervisor. o3 mini will be another break through in these general purpose ai agent setup as it will be much smarter than o1 mini and hopefully with an affordable price tag.

The only channel that properly explained RAG in simple terms. I've been looking all over for someone to explain RAG this simply!! BTW, what tool did you use to draw these flows in this presentation?

Great video buddy. Lots of support to you…. Could you please shade which tool are you using to build these workflows?

Thank you for the tutorial. It is highly interesting how you discovered the DOM URL for that.

Excellent recommendation.

template

thank you very much

I still think there is a place for Supervisor agents, mostly around building an Executive Assistant chatbot that has the ability to call the tools it needs. There is no sequence for that.

Nice video, Sercan!

Nice video brother! Just wanted to point out you could save an LLM call by adding an if node to check sentiment output after the merge node and then just having a positive and negative path with templates setup for each path. I know the LLM calls are cheap but for scaling purposes it might be worth it depending on the amount of feedback received.

solid contents - massively underrated channel. keep up the great work dude!