标签：#email

Every shared support inbox eventually becomes a triage problem: 80 unread messages, no agreement on what "urgent" means, and the one person who knows which customer is about to churn is on PTO. Teams keep solving this with labels and heroics. It's a better fit for an LLM — as long as the LLM has somewhere safe to live. That's the case for giving the triage agent its own mailbox. Nylas Agent Accounts (currently in beta) are hosted mailboxes you create entirely through the API. A support@yourcompany.com Agent Account receives every inbound support email, gets six system folders out of the box ( inbox , sent , drafts , trash , junk , archive ), and exposes the same grant_id -based endpoints as any connected Gmail or Outlook account. Creating one is a single request: curl --request POST \ --url "https://api.us.nylas.com/v3/connect/custom" \ --header "Authorization: Bearer $NYLAS_API_KEY " \ --header "Content-Type: application/json" \ --data '{ "provider": "nylas", "settings": { "email": "support@yourcompany.com" } }' Save the grant_id from the response — every other call hangs off it. Four buckets beat five The classification scheme from the email triage agent recipe sorts mail into exactly four categories: Bucket Meaning Action URGENT Production incident, executive ask Draft a reply within the hour ACTION Code review, meeting follow-up Draft a reply same-day FYI Status update Leave it alone NOISE Newsletter, automated alert Archive Four is deliberate. Three loses fidelity — everything collapses into "important." Five and the model starts confusing adjacent categories. The prompt runs with temperature=0 and max_tokens=10 , and the model only sees sender + subject + a 200-character snippet, not the full body. That's enough for over 90% accuracy. Here's the prompt verbatim from the recipe: You triage email into one of four categories: URGENT — production incidents, executive requests; reply within 1 hour ACTION — code reviews, meeting follow-ups; reply same day FYI — info

Most "AI agent + email" tutorials start the same way: connect the agent to a human's inbox over OAuth, hope the token doesn't expire mid-run, and pray the agent never replies to the wrong thread on someone's behalf. There's a different model: give the agent its own email address. Nylas recently shipped Agent Accounts (currently in beta) — fully functional, Nylas-hosted mailboxes you create and control entirely through the API. Each one is a real name@company.com address that sends, receives, hosts calendar events, and RSVPs to invitations. To anyone interacting with it, it's indistinguishable from a human-operated account. I work on the docs at Nylas, so I've spent a lot of time with this API. Here's a tour of what it does and how to get a mailbox running in a few minutes. Why not just connect the agent to a human inbox? You can — that's what OAuth grants are for, and they're the right tool when the agent works on behalf of a person. But a lot of agent workflows want a first-class identity instead: System mailboxes ( sales@ , support@ , scheduling@ ) that your app owns end-to-end. No OAuth consent screen, no user offboarding breaking your integration. Ephemeral inboxes for test automation — provision a fresh address per run, sign up for a service, grab the OTP from the verification email, tear it down. Per-customer identities in multi-tenant apps: scheduling@customer-a.com , scheduling@customer-b.com , each with its own send quota and sender reputation, all in one Nylas application. A scheduling bot with its own calendar that proposes slots, sends invites, and shows up as a normal participant in Google Calendar, Microsoft 365, and Apple Calendar. The key design decision: an Agent Account is just another grant . It gets a grant_id that works with every existing Nylas endpoint — Messages, Drafts, Threads, Folders, Attachments, Calendars, Events, Webhooks. If you've already built against connected accounts, nothing new to learn. Create a mailbox with one API call Every