Elytra redesigns processes with AI for other companies. The first thing we did when we started was run the diagnostic we sell on ourselves.
We found what we find everywhere: processes that existed because someone created them once under pressure, and no one afterwards had a reason to touch them. Structures nobody designed. Things that worked well enough never to become urgent.
We diagnosed ourselves with exactly what we diagnose in our clients.
So we're going to do something uncomfortable: document in public how a company that runs natively on AI actually gets built. The architecture decisions, the criteria behind each one, and above all the mistakes — including one that took our entire production down and had nothing to do with AI.
These won't be success stories. Success stories are unverifiable and, on top of that, dull. They'll be decisions with the trade-off stated: what we chose, what we ruled out, and what it cost us to find out. For each one we publish the problem and the criterion. Not the implementation — that's what we sell.
Next week we start with the most counterintuitive one: why, after taking down our own production, we decided not to build the agent that would have prevented it.