I'm implementing a simple operation in n8n, and it's quite interesting.

203.51.***.***
9

With n8n, I'm implementing a feature that interprets any image on a webpage, converts it to a PDF, and sends it via Telegram.

  • It feels like stacking building blocks. It maintains programming concepts, but from a user's perspective, you only need to set up a very simple flow. It's like the expert mode of Scratch, a block coding tool used in middle and high schools these days.

  • It's not difficult when I set it up while asking Gemini how to use it.

  • The problem is configuring the part that connects AI services. Gemini AI Pro subscription has restrictions compared to the API pricing plan, so it seems I need to split questions and use time-spaced attacks. If I use the API pricing plan, I could just fire it off directly.

  • There's a big difference in image interpretation by Gemini model. Gemini-2.5-flash properly recognizes two men with permed hair, but gemini-3-27b-it recognizes them as a mother and son. ㅠ.

  • When using AI models, the waiting time is quite long. It's tedious. I'll need to either multitask with other work or watch a movie while waiting.

After setting up an API pricing plan and doing various things in the past, getting hit with $50 in half a day, I'm scared of API pricing plans now. ㅠ.

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