Most "AI for property management" pitches start with a model that reads a leasing manager's inbox and "helps them keep up." That's fine until you realize the bottleneck isn't reading — it's that a leaky faucet, a dead furnace in January, and a "the porch light is out" all arrive at the same address, in the same font, with the same level of zero structure, and somebody has to decide which one is an emergency before a tenant is sitting in the cold.

So let's not point a model at a human's mailbox. Let's give the property its own mailbox — maintenance@oakwood-apartments.com as a first-class participant that receives every tenant request, decides how urgent it actually is, drops it in the right priority queue, loops in the right vendor, and emails the tenant a status update from the property's own address. No shared inbox, no human triaging at 11pm, no "did anyone see this one?"

I work on the Nylas CLI, so the terminal commands below are the exact ones I reach for when I stand one of these up. Every concrete step gets the two-angle tour: the raw curl call and the nylas command that does the same thing.

What you actually get

An Agent Account is, underneath, just a Nylas grant with a grant_id. That's the whole trick, and it's worth sitting with: there's nothing new to learn on the data plane. Every grant-scoped endpoint you already know — Messages, Drafts, Threads, Folders, Attachments, Contacts, Calendars, Events — works against this grant exactly the way it works against a Gmail or Microsoft grant you got through OAuth. The provider is nylas instead of google, and that's the only difference your code sees.