AI Agent Email: Keep Untrusted Messages Inside Clear Boundaries
Design an email assistant around read-only access, explicit authority, reviewable drafts, and recovery steps so incoming messages cannot quietly expand its role.
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AI Agent Virtual Email Box
An AI agent virtual email box concerns the tools an agent may use, not just the text it can generate. Reading a thread, creating a draft, changing a label, and sending a message are different permissions with different consequences. Define those capabilities individually before connecting an account. A useful starting point is a dedicated test mailbox, a small set of permitted operations, and a review step that presents the exact action the agent proposes to take.
Create an explicit capability list
List the operations the workflow needs and mark each as allowed, review-required, or unavailable. A summarization task may need message reading without any right to send or delete. A drafting task may need to create a draft while leaving recipients and final submission under human control. Apply these decisions in the tool layer where supported, not only in a conversational instruction. Record the account, folders, and identities involved so that permission reviews concern an actual boundary rather than a vague instruction to behave carefully.
Treat messages as untrusted task data
A mailbox receives text written by people outside your workflow. Design the agent so that a message cannot expand its own permissions, change the approved recipient, or redefine the task merely by asking. Have the workflow supply the authorized objective separately from retrieved content. When an email contains a command, request, or quoted instruction, evaluate it as part of the correspondence. Require a trusted review path before converting it into a tool action that changes data, contacts another person, or accesses additional material outside the original scope.
Make proposed actions reviewable
Show the reviewer the affected account, recipients, subject, content, attachments, and any changes to folders or labels. Preserve enough context to understand why the action was proposed without displaying unrelated messages. Bind approval to the specific proposal, then require fresh review if the proposal changes materially. Record action identifiers and outcomes so an interrupted run can be investigated. Begin with a small test workload and inspect the action record after failures, retries, or permission changes before considering broader access to a working mailbox.
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Detailed examples and practical tradeoffs for the decisions behind this guide.
LLM Email Triage: Design Labels, Reviews, and Recovery
Create a practical LLM triage system with a small label set, structured results, realistic evaluation cases, a manageable review queue, and reversible changes.
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