Where do I start if I have a simple idea?

I’m new to N8N. I’ve spent hours watching videos and I can’t even find the most basic information on how to do certain things. I have an incredibly simple (I think) project and I feel like if I can just understand the nuts and bolts of this project, other things might make more sense. All I want to do is set up telegram (or some other chat or SMS) as a trigger and be able to pull information from a google spreadsheet. That’s it. For example, I might enter “john email” and it would either 1) ask me which john, which which case I can add a last name, or 2) it just pulls the contact for everyone named john. I guess the former would be more ideal. Or i might enter “What is Lisa’s phone number and email address?” And it would find that. The spreadsheet I’m using has multiple sheets, so I guess maybe that complicates things. If someone can get me on the right track I would really appreciate it! I just don’t understand how to identify all of the nodes you need and in which order and what to enter in the various fields.

Thanks for bringing up the topic!

Sorry, I don’t have a solution for you, but I know what you mean by your question. What you’re describing is a broken user journey, let me explain if you don’t mind:

I guess most office workers nowadays know what a spreadsheet is, they have to use it every day. Now the following idea comes to them quite naturally, they think (and this was my first thought too): Wow, now I can finally work with this spreadsheet via LLM? That’s great, the possibilities are endless! So I just connect OpenAI with the AI ​​Agent and this spreadsheet, … and: oh no, it doesn’t work, some error messages appear, connection failed, wrong credentials, what was 0Auth again, have to do other things today, bye.

And as you said, somehow step-by-step tutorials for these obvious and easy first tasks are missing. Maybe moderators of this community can help us out? (In my case, it worked after some trial and error - but I was just experimenting a bit here and there and it wasn’t a really straightforward process.)

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