I Built and Launched an AI Document API in Under a Week — Here's Exactly How I Did It

I Built and Launched an AI Document API in Under a Week — Here's Exactly How I Did It TL;DR: I built Condensare — an AI-powered document processing API that turns any uploaded file into structured notes and contextualised implementation suggestions. It's live on RapidAPI. This is the full breakdown of how I built it, deployed it, tested it and shipped it. The Problem A few weeks ago I had a simple frustration. I was uploading documents to various AI tools trying to get useful summaries and actionable insights, and every single one felt generic. The output didn't know what industry I was in, what scale my business operated at, or what I actually wanted to do with the information. It just summarised. That was it. So I built Condensare — a document condensing and AI suggestion API that takes any uploaded file and returns structured notes plus contextualised implementation suggestions. The Stack I kept it simple and production-focused: Layer Technology API Server Node.js + Express AI OpenA