Operations

13 posts on operations for AI agents that send and receive email.

A full inbox and an empty office

6 August 2026 · 4 min read

The week between Christmas and New Year

Coverage gaps are predictable, and so is what arrives during them. What an agent should do when nobody is available, what it must not promise, and how to hand back a backlog.

A live inbox with traffic, history, and expectations already attached

5 August 2026 · 5 min read

Putting an agent on an inbox that already has traffic

Starting an agent on a new address is easy. Moving one that customers already write to, with expectations and history attached, needs a different plan.

Fifteen threads pulled from a week and read end to end

4 August 2026 · 4 min read

The weekly half hour that keeps an agent honest

Dashboards tell you an agent is running. Reading fifteen threads tells you whether it is any good. What to sample, what to look for, and what to do with what you find.

The easy half handled, leaving a smaller and harder pile

3 August 2026 · 5 min read

What your team does once the agent handles the easy half

An agent changes the shape of the work rather than the amount, and the leftover pile is harder than the average was. How roles, staffing levels, and hiring change, honestly.

Two response paths from one inbox, with very different clocks

3 August 2026 · 4 min read

Setting response time targets you can actually keep

An agent answers in seconds, which makes it tempting to promise something you cannot hold when it escalates. How to set targets per category, measure the tail, and design the fallback.

A week of agent threads being read and corrected

30 July 2026 · 5 min read

The first week with an email agent, day by day

A day-by-day plan for the week that decides whether an email agent works: what to set up, what to read, what to fix, and what to hand it next.

An operations view of an agent's sending, silence, and bounce signals

28 July 2026 · 5 min read

What to monitor when an agent is answering your mail

The signals that catch an email agent going wrong before a customer does: send classification, first contact with new domains, silence, bounce movement, and the traces worth keeping per thread.

A review queue with a small number of held messages and a clear next action

28 July 2026 · 5 min read

Designing approval that a human will still read in week three

Approval queues fail by being too full to read. How to choose what needs a person, design the review itself, set a timeout for unreviewed items, and know when to remove the gate.

Sending obligations attaching to an agent's messages

28 July 2026 · 6 min read

The compliance floor for email an AI agent sends

An agent sending on your behalf is you sending. What CAN-SPAM, GDPR, PECR, and CASL require, how unsubscribe and suppression have to work, and what to do about disclosure and retention.

A disposable test inbox receiving a message inside a CI run

27 July 2026 · 5 min read

Test inboxes for agent development, without mocking email

How to test an email agent properly: disposable inboxes per run, replaying real threads, asserting on what was sent, and the difference between a sandbox that traps mail and a real one that delivers.

Message volume, inbox count, and storage as the three axes of an email bill

27 July 2026 · 5 min read

What email actually costs when your agents send it

Per-message pricing, per-inbox pricing, storage, and the hidden costs nobody budgets for: tokens spent parsing mail, engineering time on threading, and the price of a damaged sending domain.

A dashboard of agent quality metrics next to a set of test threads

26 July 2026 · 6 min read

How to tell whether your email agent is any good

Deflection rate flatters everyone. The metrics that expose a bad email agent, how to build a golden thread suite, and how to run regressions before a prompt change reaches customers.

A dashboard showing agent activity with a send awaiting approval

22 July 2026 · 6 min read

Keeping an autonomous agent from becoming a spam problem

Autonomy plus email is a reputation and legal risk. The controls that actually work: send classification and tripwires, allowances, narrow approval, per-agent scope, mail rules, and an audit trail someone reads.