We've been playing with LLM's and OpenAI to build integration from plain text.

There's a video of an early version of it in action here: https://www.loom.com/share/a78c70f0e2bd42a28b7cb0a5d175c3aa

I think what's nice about using LLM's to build Taxi queries (which is what's actually happening here) is that we're not having to push things like API Specs and DB Schemas to the LLM. Instead, we train it on the Taxi types that are available, get the LLM to build a Taxi query, and let Orbital generate the integration.

It means a lot less information is pushed out.

Still quite early, but it's really powerful.