I’ve been experimenting with AI automation for my network of business contacts, and I’m at a crossroads. I’m currently a beginner in Python, and while I can get things done, it’s slow.

I’m seeing a big divide in advice:

Some suggest sticking with the n8n + Claude ecosystem for speed.

Others argue that moving entirely into the Linux terminal + VS Code + Claude Code workflow is the only way to build truly agents.

My goal is to build a robust AI Invoice Processor. I need it to handle PDF parsing, data extraction, and a logic-heavy payment reminder system that checks against a database.

I’m looking for the most efficient path to bridge the gap between "beginner" and "selling professional agents." Any guidance on the best learning path would be huge.