u/Public_Employee694

I ve been using antigravity and claude to build software and then host it - which is pretty straight forward. I also used to use n8n a lot. But what does advanced ai coding even look like? How do you create an "Ai agent" and host it so that everyone can use it as a product and how do you build that product in the first place? whats the exact process all those "ai agent" startups use right now to ship their products? and how do you actually learn advanced ai coding/infrastructure, i cant find any tutorials online

I personally use antigravity as an IDE and claude as the underlying LLM for coding apps. In most cases I will use the exact same setup for vibecoding ai automations - I used to love using n8n for this in the past but I feel like its kind of falling short right now.

What are you guys using?

I have noticed the above mentioned problems with each company I worked at. So with n8n coming up especially in 2025 I figured there must be a way to streamline AP/AR management. So i invested hours manually building n8n workflows and I built every HTTP request myself. At the end the product worked, but it was pretty prone to bugs and couldnt handle edge cases pretty well. So at some point when claude startet to blow up I started building redoing the whole thing but now I would use claude and antigravity and within days I had a product ten times better. Within days I built the following features:

- invoice info extraction via OCR

- approval routings (the user can have invoice routed to a specific person within the team if the invoice amount exceeds a certain amount for instance)

- fraud detection ( the algorithm in the backend would actually detect if a vendor from an incoming invoice is completely new and especially if an exisiting vendor suddenly has a new iban)

- automatically match bank csv exports to invoices (AP and AR)

- project cashflow through contract-upload and match invoices to contracts

The most important thing quite frankly is to have a precise plan in mind what your product should look like from the get go, then it is important to handle all the API work (especially for gmail, LLM, OCR etc) , the OCR part I would say is the toughest part because you can have really messed up invoice formats that are different every time or multiple amounts on one invoice.

Long story short I think this is something every company at a certain stage has to automate using AI and APIs