Internal R&D
Our own lab for trying AI tools before they go anywhere near client work. We build small agents, break them on purpose, and keep what holds up.
The work
Every promising model or framework gets a real job in the lab first: sorting our inbox, drafting project notes, checking our own sites for problems. If it can't do a dull job reliably, it doesn't ship.
What survives becomes a pattern we can reuse, with notes on where it fails. That way clients get tools we've already lived with, not experiments.
