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I’ve been building small automation tools using n8n + custom Java services, mostly around Telegram workflows and simple business automation.
One thing I noticed while trying this tutorial is that most real use cases are much more “messy” than the examples here (lots of edge cases, retries, and weird inputs).
Curious — what’s the most painful automation you personally tried to build?

This is great stuff, I have tried different folks here on youtube, yours was easier to follow and i am understanding better.

Can you make a guide/ tutorial for five AI Agents that you can build. and another five for just basic automations ?

Could you tell please – i wonder if i place both workflows -Agent and Vector store in the one workspace? (creating an Agent for restaurant)

As always amazing! Thank you. Can you explain why Google Cloud overall console and interface is absolutely horrible! I am not an engineer, my expertise is business and system logic…so rarely using google cloud expect in integration through FlowiseAI and N8n….why is it so badly designed?

Good

Can you please comment on best cases for Posgres vs Pinecone as the vector database. How do you make the decision?

Please, I downloaded Ollama on my machine and followed your step by step on how you did yours in this Tutorial video but mine is still requesting for API and when I clicked save button. It's telling me problem creating credential. Can't connect to n8n.

Please, what am I supposed to do again to bypass this challenge. It's tiring 😫 😩

Amazing video, thank you Leon! Your content really helps me learn. I have a general question for the community: if I want to build a large financial database, what would be the best approach in n8n to ensure it’s both robust and easily updatable?

Fun fact about daily sending limits (according to ChatGPT5 Thinking)
Short version:There are real Google limits you need to respect when n8n sends email via Gmail/Google Workspace and reads recipients from Google Sheets.

Gmail / Google Workspace sending limits (most relevant)

If you use the Gmail (API/SMTP) node in n8n from a Google Workspace account:

Daily messages per user: 2,000 (trial: 500)

Mail-merge daily cap: 1,500

Recipients per message: 2,000 total in To/Cc/Bcc, but max 500 external in a single message

Total recipients per day: 10,000

External recipients per day: 3,000

Unique recipients per day: 3,000 (2,000 external; trial: 500 external)

If you exceed limits, sending can be blocked for up to 24 hours.
Google Help

Also, if you send >5,000 messages/day, Google requires one-click unsubscribe headers (List-Unsubscribe) and expects you to follow bulk-sender rules.
Google Help

Google Sheets API quotas (reading your list)

Read requests: 300/min per project, 60/min per user

Write requests: 300/min per project, 60/min per user
Exceeding quotas returns HTTP 429; use exponential backoff. There’s no per-day charge—just throttling.
Google for Developers

How to stay safe in n8n

Throttle sending: Use Split In Batches + Wait nodes (e.g., 1–2 emails/sec) to avoid per-minute spikes and Sheets quotas.

Track counts: Maintain a running total (items sent + recipients) and stop before hitting Gmail’s daily caps.

Handle 429/403: Add error branches with exponential backoff and retry. (Also applies to Sheets.)
Google for Developers

Respect bulk rules: Include unsubscribe link/headers, honor opt-outs, and avoid sudden volume jumps (common trigger for temporary blocks).
Google Help

Use Workspace, not personal Gmail for bulk/transactional sends (higher limits and fewer blocks).
Google Help

When volume grows

If you need more throughput (or better deliverability), consider a transactional email provider (with SPF/DKIM/DMARC) and call it from n8n. Keep Sheets for your list, but send via the provider’s API.

If you want, I can sketch a small n8n template: Read Sheet → Split in Batches(50) → Wait(1–2s) → Gmail Send → Counter → Stop at 1,800 msgs/day to leave headroom under the limits.

This is an amazingly good and complete tutorial on how to get proficient at not just n8n automation but also creating GenAI applications that use LLMs (such as ChatGPT 4.1, Claude 4, etc.). Leon is an outstanding instructor and this tutorial is easy to follow while also including a large amount of sophistication in the application built. The application developed is very relatable to one that we would use in real-life and includes a majority of tools and constructs that are relevant to production-grade apps. If you're serious about GenAI applicatoins built with n8n, this is one of the very best tutorials you'll find.

I'm seeing this issue when connecting to gmail and a self hosted installation: SSL Issue: consider using the 'Ignore SSL issues' option (item 0). Version 1.106.1

I have completed all the AI automation guides. Thank you so much Leon, for your guidance and tutorials. You’ve earned my subscription!

I don't have money for n8n😢😢😢

Great video Sir. I’m trying to integrate a loyalty program which has API to Clover POS system used in the USA. Wondering if you have any tutorials for this kind of integration

Hello, I’m building an AI agent using Flowise for solving student doubts in coaching apps. I’m facing challenges with model selection, storing chat data, and integrating extra functions. I’m not from a tech background and working solo—could really use some guidance. Is there a way I can ask a few questions?