Draft emails held behind a locked send button for approval

Quick answer

To keep control of an AI email agent, give it a clear draft-only rule: it may read, sort and write replies, but must never send. Put the rule in its settings or first message, decide which low-risk actions it may take alone, review its drafts in a daily batch, and check your sent folder to confirm it is following the rule.

Key takeaways

  • Tell the agent clearly: write drafts, never send
  • Decide which low-risk actions it may take alone, if any
  • Review drafts in a daily batch to save time
  • Check the sent folder regularly to confirm compliance

This guide answers one question from our article Best AI Agent for Email and Social Media in 2026: Dots vs Muse vs Grok Bot: how do you let an always-on agent help with email without letting it send messages in your name?

📘 Main article: This guide supports our full article, Best AI Agent for Email and Social Media in 2026: Dots vs Muse vs Grok Bot. Read it for the complete picture.

Why use a draft-only rule?

Always-on agents such as OpenAI's Dots can find emails to archive and draft replies before you ask. In the testing behind our main article, Dots wrote and sent an email when asked, but stuck to drafts when told not to send anything.

That second behaviour is what you want for business email: the agent does the writing, you do the sending.

What instruction should you give?

Use clear, unambiguous wording. For example:

“Never send, forward or delete emails on my behalf. You may read my inbox, suggest emails to archive, and write reply drafts. Save every reply as a draft for me to review. If you are unsure what to do, ask me.”

What can the agent do alone?

Decide this before you connect your inbox.

ActionRiskSuggested rule
Read and summarise emailsLowAllowed
Flag urgent messagesLowAllowed
Write reply draftsLowAllowed, saved as drafts
Suggest emails to archiveLowAllowed, you confirm
Archive emailsMediumOnly after a trial period
Send or forward emailsHighNot allowed
Delete emailsHighNot allowed

How do you review drafts efficiently?

  1. Set one or two review times a day.
  2. Open the drafts folder and read each draft in full.
  3. Edit facts, prices and promises carefully.
  4. Send only what you would have written yourself.
  5. Note any repeated mistakes and update the agent's instructions.

How do you check the agent is following the rule?

  • Look at your sent folder daily for the first two weeks
  • Compare sent items with drafts you approved
  • Keep a short log of anything unexpected

If something was sent without approval, disconnect the agent and follow your email incident response plan.

⚠️ Warning: An instruction is not a guarantee. If anything was sent without your approval, disconnect the agent and review its settings before reconnecting.

Frequently asked questions

Will every agent follow a draft-only rule?

You cannot assume so. Test it and check your sent folder until you trust it.

Can I let it send routine replies later?

Possibly, after a long trial with no problems, and only for clearly defined, low-risk messages.

Should I let it archive emails?

Start with suggestions only. Allow archiving later if its suggestions are consistently right.

What about calendar invites and RSVPs?

Treat them like sends. Let the agent suggest responses, but confirm them yourself.

Where should I put the rule?

In the agent's settings or standing instructions, and repeat it in your first message.

The bottom line

A draft-only rule gives you most of the time savings of an email agent with far less risk. Write the rule clearly, review drafts daily and verify compliance.

author avatar
Garry Knight
I'm Garry Knight, the person behind Prodify Digital. I write about email list building, email marketing, SEO, AI search and the tools that connect them. My aim is to make online marketing easier to understand, so creators and small business owners can make informed decisions about building an audience and keeping people engaged. Here you'll find straightforward guides and product reviews that explain what something does, where it fits and which limitations matter. The focus is on clear explanations and useful next steps—not hype, shortcuts or promises of easy earnings.

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