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Life Admin & Home: top AI agent use cases

These are real examples of people handing everyday admin to an AI agent: forms, paperwork, health questions, family logistics, and tasks around the house. There are 155 use cases in this category, each a job someone reported doing, with a link to the original post. The ones readers have voted for most are listed first.

155 Life Admin & Home use cases, from every agent.

Top Life Admin & Home use cases

  • DE

    Hunt jobs, tailor resumes and apply automatically

    An agent called Resume finds and ranks jobs around schedule and pay wants, drafts tailored resumes and submits applications; the author reports 3 interviews and 1 offer.

    How it went Secured 3 interviews and 1 job offer with start date the following week that aligned with existing schedule and finances.

    Devin

  • GB

    Use an agent as a full-time personal secretary

    A user says they use Grok Bot as a full-time secretary for personal-assistant work, with no detailed task list given.

    How it went It was useful enough that the poster says they use it as a full-time secretary, but they hit 100% of the weekly allowance in 2 days and burned through $10 of on-demand credits in about 2 hours. They were unsure the $20 plan was sustainable and considered upgrading to $60.

    Grok Bot

  • CC

    Control a PC and launch World of Warcraft from your phone

    A writer had Claude Code run desktop tasks like Calculator to Notepad and, via Dispatch from his phone, launch Battle.net and log into a World of Warcraft character.

    How it went Both tasks worked. For the WoW request, Claude reported back when finished and the character was logged in. The article offers only these simple demos, and commenters questioned how useful they are.

    Claude CodeClaude Cowork

  • MM

    Unsubscribe from unread mailing lists via Gmail

    Reporters connected Muse to Gmail; it found never-opened emails, let the user choose which to drop, then carried out the unsubscribe requests.

    How it went It worked within seconds. The report gives no count of lists removed and no check of the results. Meta says users should review the agent's work, since it can make mistakes.

    Meta Muse

  • ··

    Plan a birthday day with an AI assistant

    A co-founder's AI assistant planned his birthday: gathered coworker stories, organized the day, booked dinner and ordered a cake.

    How it went The birthday day was completely planned by the agent with no further details reported.

    Custom agent4 accounts

  • MM

    Apply to jobs automatically and schedule calls

    Muse applied to 60+ jobs with updated resumes and cover letters, scheduled calls, and created prep files, reaching interview rounds.

    How it went Three companies responded and one advanced to interview rounds. The user passed the first interview and moved to the next round.

    Meta Muse

  • GB

    Monitor PC memory and ask before closing apps

    Grok Bot noticed high RAM use from 22 Python processes, texted a breakdown, and asked permission before closing applications.

    How it went The user got the text during lunch at a construction site and handled the response remotely without the computer running out of memory.

    Grok Bot

  • CW

    Bulk-unsubscribe from Gmail newsletters

    A PCWorld writer had Claude Cowork pick newsletters safe to cut, then unsubscribe in bulk via the Chrome extension with a JavaScript function it wrote to click Unsubscribe.

    How it went Claude unsubscribed from 21 newsletters in about five minutes, one for each he chose to cut. It also suggested a follow-up routine to mark any that reappear as spam.

    Claude CoworkClaude in Chrome

Questions

Are the health examples medical advice?
No. A few entries are people using an agent on a health question or a household task. They describe what happened in that case. They are not medical advice.
How many Life Admin & Home use cases are there?
There are 155 use cases in this category on the site right now. This page shows the top ones, not the full set.
Which agents show up most for this kind of work?
The named agents used most often here are Claude Code, OpenClaw and Meta Muse. Other entries use a custom-built or unnamed agent.
How does a use case get onto this page?
It has to be something a person reported doing. We re-read the source before it is shown. Reader submissions are reviewed by a person first. An approved submission is checked against its source and added in a later update. A rejected one is not added.
How is this list ordered?
By votes from people on this site. More votes means higher on the list. Ties go to the use case described in more separate accounts.

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