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An Email Agent Ran Three Inboxes for 30 Days Without Missing an Urgent Message

An owner who runs five businesses and gets 80–150 emails a day let an AI agent with access to three inboxes triage them for a month: triage was about 85% accurate, nothing urgent was missed, and 10 minutes of inbox work became 2 minutes of review.

Who this is about: Owner-operator running five small businesses

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What it takes

Cost
Free softwareOpenClaw: Free and open source under the MIT license, with no paid version. You pay for the AI models you connect and any hosting.Free software; you pay for the AI model and a Mac Mini to run it.Price checked Oct 15, 2026 on openclaw.ai. Prices change; check before you buy.
Setup time
An afternoonOur estimate from the source, for one business.
Skill needed
Developer skillsYou build or run your own code, even if AI writes it.

Explain it simply

An owner of five businesses got 80 to 150 emails a day. An AI agent, a program that can act on its own, checked his inboxes every 30 minutes, sorted mail by importance, sent him alerts for urgent ones and wrote draft replies to routine ones. It never sent anything without his OK, and in a month it missed nothing urgent.

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What was done

Every 30 minutes during business hours the agent checked three email accounts and sorted mail into urgent, important, informational and noise. It flagged urgent items on Telegram, drafted replies to routine messages and filed the rest. One rule never changed: it drafts, the owner approves, and nothing is sent on its own.

How it went

Triage was about 85% accurate from the start, and no urgent email was missed in 30 days. About 40% of incoming mail was handled as informational without the owner seeing it. Routine drafts (acknowledgements, confirmations, simple requests) were about 70% ready to send.

  • Limits: tone was the biggest failure. Drafts sounded generic to long-term suppliers, friends and officials. The agent also lost context across multi-day threads, over-used CC, and missed subtext in sensitive situations.
  • After 30 days the owner narrowed its job: it still drafts routine and templated replies, but only flags (and does not draft) negotiations, close relationships, legal matters and anything involving CC decisions.

Prompt

PromptAdapted from the source
Every 30 minutes during business hours, check [inboxes].
Sort each email as urgent (needs me today), important (can wait a day), FYI, or noise (candidates to unsubscribe).
Send me the urgent ones on [Telegram] right away.
Draft replies only for routine messages: acknowledgements, confirmations and simple requests.
Never send anything without my approval.
Flag, but don't draft, anything about negotiations, long-standing clients or suppliers, legal or compliance matters, or who to CC.

Adapted from the configuration in the post, including the rules he added after 30 days.

Business fit

Who this helps, and how:

  • Independent contractors (barbers, bartenders, consultants): let an agent sort booking confirmations and routine questions, and flag anything from key clients.

    Agencies
  • Local service businesses: flag urgent customer or supplier emails to your phone while routine confirmations get drafted.

    Local & service
  • Medical and health professional business owners: separate vendor and newsletter noise from messages that need a person, keeping patient matters out of auto-drafting.

    Local & service
  • Startup founders and e-commerce sellers: auto-file notifications and supplier CCs so the inbox shows only what needs a decision.

    Startups
  • Agencies and freelancers: draft acknowledgements and scheduling replies across several client inboxes, with approval before send.

    Agencies

Related

Similar tools

Other tools for this job, and how they differ. Chosen by our editors, never paid for.

  • Superhuman

    An email client with AI triage and drafting.

  • Fyxer AI

    Sorts your inbox and drafts replies inside Gmail or Outlook.

  • SaneBox

    Filters low-priority email out of your inbox without AI drafting.

“Strong evidence” (grade B) means: The person who did the work describes the setup and results in detail. How we grade. Spotted a mistake? Suggest a correction.