How a PDF engine fits inside a single Cloudflare Worker request with no eval, no headless browser, and no Node filesystem — and still returns sub-second renders for typical documents.
Making AI reliably produce a working PDF template needs three pieces working together — a machine-readable catalog, a compact DSL that costs 75–95% fewer tokens than raw JSON, and a skill file the agent can fetch once and remember.
The previous three versions of this product all assumed a template-authoring UI was the hard thing to build. The 2026 version doesn't have one. An AI reads a sample document and produces a template directly.
I've been bumping into PDF generation as a problem since 1999. Four of my attempts to turn it into a product have reached the level of "you could use this." Three didn't find a market. This is the history, honestly told.
Building a reusable component library for your app will speed up development, increase consistency of the UI, and reduce the total download size of your app. Below are a few tips I've picked up while…
A PDF file is basically a set of object serialised in a specific format similar to PostScript. Our initial goal is to be able to place text in a PDF by writing the required objects in the correct…
Today I'm going to talk about using a fat model in Catalyst. When I started using Catalyst and eventually got my head around all the parts and where they all fit in, the slot for my "business logic"…