Topic: #AI

Traditional OCR and regex parsers break the moment an invoice layout changes. Here is how we built an AI invoice extractor that turns messy PDFs and receipts into structured data with a built-in human feedback loop.

A multi-agent content generation platform built on the OpenAI Agents SDK, where six specialized agents research, write, fact-check, score, and publish content, with a human still in the loop.

Before we build an AI system for a client, we usually build it for ourselves first. Here's what broke, what we learned, and why it changes how we scope similar work.

Cloud AI processes every message on someone else's server and meters every request. On-device inference breaks both problems. Here's the trade-off, honestly.

Not every part of an offline voice stack needs a choice. Here's why speech-to-text got one engine, and why text-to-speech got a real trade-off instead.

There's no single best on-device model. Here's the real lineup we ship, which ones we actually recommend, and why bigger isn't automatically better on a phone.

An introduction to Riverborn: our mission, the gap we exist to close, what we build, and how we approach production AI engineering.