26 AI agent prompts for Personal Productivity
Copy-paste, beginner-friendly prompts to help you triage email, plan your week and summarize long documents. Each one is based on a real-world example and works with ChatGPT, Claude or an AI agent. 19 are free below, and 7 more are in AgentPlaybook Pro.
Free Personal Productivity prompts
Plan my week
Turn a to-do pile into a realistic weekly plan.
My tasks: [paste]. My fixed commitments: [paste]. My energy is best in the [morning/afternoon]. Make a realistic weekly plan with time blocks, top 3 priorities, and what to drop or delegate.
Summarize a long document
Get the key points of a contract, report, or PDF fast.
Summarize this document in: a 3-sentence overview, 7 key points, any deadlines/numbers, and 3 questions I should ask. Document: [paste or upload]
Learn any topic fast
Get a personal crash course.
Teach me [topic] as a complete beginner in 5 short lessons. Each lesson: simple explanation, real example, one exercise. Quiz me at the end and adapt to my mistakes.
Remove yourself from data brokers
Have your agent find where your personal and contact info is listed on B2B contact-data sellers and people-search sites, and work through their opt-out requests, from a prompt Peter Yang shared for Grok Bot and other agents.
Help me remove my personal and contact info from B2B contact-data sellers and people-search brokers (for example Apollo, ZoomInfo, RocketReach, Lusha, ContactOut, Seamless AI, and the big people-search sites). My details: name [name], emails [emails], phone [phone], city [city]. For each site: check whether I'm listed, find its official opt-out or data-deletion page, and either submit the request or give me the exact steps and link. Never create accounts, pay for anything, or share more info than the form needs without asking me first. Finish with a table: site, listed (yes/no/unknown), request sent (yes/no), date, and when to re-check.
Coordinate a group plan in one chat thread
Add an agent to a group chat so friends can explore options, agree on a plan, and finish logistics in one thread—even if some people don't have the app—like Instinct's group-chat agents for trips, tickets, carpools, fantasy leagues, and holiday potlucks.
Help our group plan [trip / dinner / tickets / carpool / event] in this chat. People: [names and any constraints]. Window: [dates or times]. Budget: [amount or 'flexible']. Preferences: [location, dietary, vibe]. Propose 2-3 options with pros/cons, then once we pick one, list who does what (book, pay, bring, drive) and a shared checklist. Ask before using anyone's personal calendar, contacts, or payment details, and don't book, message people outside this chat, or share one person's private info with the group unless they say yes.
Turn the podcasts you hear into a personal wiki
Have a coding agent turn every podcast episode you listen to into linked notes (concept pages, key takeaways, and links between shows) so what you hear actually sticks, like Hagai Hen's Claude Code podcast-to-wiki pipeline.
Build me a simple pipeline in this folder that turns podcast episodes into a personal wiki. Input: a transcript (or audio file I'll transcribe) for each episode in [inbox folder]. For each episode: 1) write an episode page with the show, guest, date, and the 5 most useful takeaways; 2) pull out the main ideas and create or update one Markdown page per idea, linking back to every episode that mentions it; 3) add links between related ideas. Keep everything as plain Markdown files I can open in [Obsidian / any notes app]. Never delete or overwrite my own notes; only add to them. Show me the result for one episode first before running the rest.
Daily job shortlist scored against your resume
Instead of scrolling LinkedIn, have a coding agent pull fresh postings, score each one against your resume and preferences, and leave only strong matches in a morning shortlist, like the open-source Pinloop CLI workflow built with Claude Code and shared by Ryan Hart.
Help me run a daily job search without scrolling job boards. My resume is at [path or paste]. My preferences: [roles, locations, remote/hybrid, seniority, must-haves, deal-breakers]. Using Pinloop (or equivalent job search CLI), pull new postings for [search terms] from the last [24 hours / today], judge each against my resume and preferences (no / weak / fair / strong) with a one-line reason, and add only 'strong' matches to a shortlist named [shortlist name]. Show me the shortlist as a table: company, title, score, reason, link. Don't apply anywhere, don't email recruiters, and don't change my profile. Wait for me to pick which roles to pursue.
Drive a legacy desktop workflow with computer use
Have an agent click through GUI-only desktop or browser apps that lack an API—expense reports, legacy portals, presentation updates—using GitHub Copilot's computer-use preview, which asks for approval before controlling each app.
Use computer use on my machine with approval before controlling each app. Goal: [e.g. submit this week's expense report / update slides / move data between two desktop apps]. Apps involved: [list]. Constraints: [e.g. never click Submit/Send/Pay without my OK; stay under $X; only use the sandbox account]. Step through the UI, narrate what you see, and pause for approval before irreversible actions. When done, report: screens visited, fields filled, confirmation numbers, and anything unexpected. If a dialog you don't recognize appears, stop and ask me.
Trade an agent crew for one assistant per project
If a crew of scheduled agents is creating more questions than results, reorganize around one folder, context, and log per project with a single assistant on top, like Igor Fedorko did after switching off 26 of 28 scheduled runs on his 16-agent setup.
Help me simplify my AI agent setup. Current setup: [list each agent or scheduled run, what it does, how often it runs, and how often I actually read or act on its output]. My active projects/clients: [list]. Do three things: (1) mark each agent or run as keep, merge, or turn off, with a one-line reason based on whether I actually use its output; (2) design one folder per project with a context file (goals, people, decisions, open tasks) and a running log, and tell me what goes in each; (3) write the instructions for a single assistant that sees all projects, keeps one master list of open tasks, and only speaks when I ask or when something is due. Keep the plan doable in one afternoon.
Have an agent watch your work apps and message you only when something needs you
Instead of asking an assistant for things, let it come to you: a short morning brief from your email, calendar and chat, check-ins every few hours that only ping you when something really needs you, and drafts it prepares in the background but never sends, pays, signs or deletes without your OK. Anthropic opened a research preview of Claude Duet on Oct 21, 2026, a proactive agent app built for professionals and small business owners that works this way.
You're my proactive assistant. You can see [my email, calendar, Slack/Teams, and: list other apps]. Here's what matters to me: [paste: top priorities this month, key clients or people, deadlines, and things I never want to miss]. Each morning, send me a brief of no more than 5 items: what needs a decision from me today, meetings I should prep for, and anything overdue. During the day, check my apps every few hours and only message me if something is urgent, from a key person, or blocks a deadline; group everything else into the next morning's brief. For routine replies, draft them for me to approve. Before you send a message, make a payment, sign anything or delete anything, show me exactly what you're about to do and wait for my yes. Tell me how often you messaged me this week and ask if I want more or less.
Let your agent use phone-only apps like Uber, WhatsApp and Instagram
Many everyday apps (ride booking, messaging, social DMs, grocery delivery, banking) have no API an agent can reach, so assistants stall the moment a task lives on a phone. PhoneUse launched on Oct 21, 2026 as an MCP server and API that gives an agent its own cloud Android or real iPhone, so it can open the app and tap through the task like you would, with logs and approval for key steps.
You have access to a phone through [PhoneUse / your phone-control tool]. Task: [e.g. check my Instagram DMs from today and send Sam a 3-line summary on WhatsApp / compare the price of this grocery list in two delivery apps / book a ride from X to Y for 6pm]. Rules: Step 1: tell me which apps you'll open and what you'll do in each before you start. Step 2: only read, search and fill in; stop and show me a screenshot and wait for my yes before you send a message, book, buy, pay, post or delete anything. Step 3: never enter passwords or one-time codes yourself; if you hit a sign-in or code, stop and ask me. Step 4: when done, give me a short report of what you did, with the final screenshots, and anything you couldn't finish.
Let an AI agent do your regular household shopping within a spending limit
Instead of reordering the same groceries and household basics yourself, you connect your AI assistant to a store account, give it a spending limit or require approval for each order, and let it build and place the order. Walmart announced on Oct 21, 2026 that Agent Profiles (launching within a month on Walmart and Sam's Club) will let customers authorize AI agents like ChatGPT or Gemini with their own profile, see the agent's purchases separately, set limits such as $50, $100 or $200, and turn the agent off any time.
You're my household shopping assistant. Every [week / two weeks], build my order from [store]. My usual list: [paste staples, brands and quantities]. Household: [number of people, diet needs, allergies]. Rules: 1) Keep the total under $[limit]; if it would go over, drop the lowest-priority items first and tell me what you dropped. 2) Only swap a brand if the usual one is out of stock or at least [20]% cheaper, and list every swap. 3) Never change my payment method or delivery address. 4) Before checking out, show me the cart: item, quantity, price, and total, plus anything I seem to be running low on based on past orders. 5) Wait for my 'yes' before placing the order unless the total is under $[auto-approve amount].
Turn your agent's past wins and failures into a lessons file it reads before every task
Most agents start every task like a new intern. Have one study the transcripts of past attempts, what worked and what failed, and write a short lessons file of your preferences, conventions and gotchas that it reads before the next similar job. Letta released FrontierMemory 1.0 in October 2026, a benchmark that scores agents on how much memory written from 674 past attempts (184 passes, 490 failures) helps them solve related tasks; the top models reached 73.3%, and Letta notes many agent products now 'dream' over past sessions to improve their memory.
You're my agent's coach. Below are transcripts or notes from past attempts at [type of task, e.g. writing client reports / fixing bugs in our app / preparing invoices], each marked WORKED or FAILED, plus any feedback I gave: [paste]. Write a lessons file under 400 words with: 1) my preferences (format, tone, length, what I always change); 2) rules and conventions that weren't written down but mattered; 3) gotchas in our tools, files or data that caused failures, and how to avoid them; 4) a short checklist to run before calling the task done. Only include lessons backed by the transcripts, and note which attempt each one came from. Skip one-off details. I'll paste this file at the start of every similar task, so keep it tidy and update it when new attempts contradict it.
Have an agent find the unfinished work hiding in your inbox, task list and meeting notes and keep pushing it forward
Pending approvals, promised follow-ups and half-done tasks get scattered across email, to-do lists and meeting notes, and the day ends before they're finished. Newer agents can sweep those places, list every open loop, make a plan, and keep working on the routine pieces for hours or days while checking their own progress. eWeek reported on Oct 22, 2026 that ServiceNow made its Arc agent generally available: an employee gives it a goal, and it spots unfinished work from the inbox, task backlog and meeting conversations, including pending approvals and follow-ups, then plans and carries out the steps across work apps within access rules set by IT.
Here is what I have from the last week: my sent and received emails [paste or connect], my task list [paste], and my meeting notes or transcripts [paste]. 1) List every open loop: things I promised to do, things others promised me, approvals waiting on me or on someone else, and questions nobody answered. For each, give who, what, the date it came up, and where you found it. 2) Mark each one as 'I can finish this now' (for example, a reply or a reminder), 'needs my decision', or 'waiting on someone'. 3) Draft the replies and reminders for the first group, ready for me to review and send. 4) For the 'needs my decision' group, write a one-line summary and the options. 5) Give me a short plan for the rest of the week in priority order. Don't send anything or change any records without my OK.
Teach your AI assistants to check the live source for dates, prices and statuses instead of trusting what they remember
AI assistants with memory can recall a deadline or a price perfectly and still be wrong, because the meeting moved or the price changed since they saved it. The fix is to make them remember where to look rather than the value itself, and to check that place before stating or acting on anything that can change. A creator shared a copy-paste prompt on X on Oct 19, 2026, re-shared on Oct 22, that rolls out a 'check the source, don't trust memory' rule across a team of assistants: map the changing facts each one relies on to an authoritative source like a calendar, inbox, Notion or database, replace stored values with pointers (for example 'check Google Calendar for the next review date'), get approval before changing memory, and test three assistants on facts they had answered from memory. The original post had about 62,000 views and 645 bookmarks.
Help me set up a 'check the source, don't trust memory' rule for my AI assistant(s): [list assistants and what each does]. Keep all current permissions for sending, buying and publishing exactly as they are. 1) For each assistant, list the facts it relies on that can change: dates, prices, statuses, contact details, balances, order info. Next to each, name where the current value lives (for example [Google Calendar / Gmail / Notion / spreadsheet / store admin]) and say whether you can actually reach it. Flag anything missing or conflicting. 2) Review what each assistant remembers. Keep stable preferences and rules. For changing facts, propose replacing the value with where to check it, e.g. 'check Google Calendar for the next review date'. Show me the changes for one assistant first and wait for my OK. 3) Write this standing instruction for each: 'Before stating or acting on a fact that can change, check its source and say where and when you checked. If you can't reach it, say so, label the remembered value as old and unverified, and don't act on it.' 4) Pick three changing facts and test: did it check, what did it find, and did that differ from memory? Report results honestly; if you can't tell, say so.
Rebuild a day you forgot to track into ready-to-approve timesheet entries
Freelancers and agencies lose billable hours every week simply because they forgot to start the timer. An AI assistant can piece the day back together from your calendar, task updates, sent emails and file activity, then propose time entries for you to approve before anything is logged or billed. MonoDesk, the freelancer workspace Envato promoted on Oct 22, 2026, has a Co-Worker "Log my time" shortcut that reconstructs a forgotten day from your tasks, schedule and activity and proposes entries you approve one by one.
Help me rebuild my timesheet for [date]. Here's what I have: Calendar: [paste that day's meetings and events]. Tasks: [paste tasks completed or updated, with times if shown]. Activity: [paste sent emails/messages subject lines with times, files edited, commits or anything else with timestamps]. My clients/projects: [list]. Do this: 1) Build a timeline of the day from start to finish in 15-minute blocks, and say which evidence each block is based on. 2) Turn it into proposed time entries: client, project, task description (client-friendly wording), start, end, duration, billable yes/no. 3) Mark any gap longer than 30 minutes as "unknown" and ask me what I was doing. Don't fill gaps by guessing. 4) Flag entries you are unsure about with a short reason. 5) Total billable and non-billable hours per client. Give me the entries as a table I can paste into [Toggl / Harvest / Clockify / my invoice]. I'll approve each one before anything is logged.
Write every to-do so an AI agent can finish it: add Why, Done and Access lines to each task, then have the agent work through today's list each morning
Agents get stuck on vague tasks like 'send invoice' because they don't know why it matters, what finished looks like, or where the files are. Adding three short lines to each task fixes that, so you can point an agent at your to-do list and let it do as much as it can. Corey Ganim shared on X (Oct 2026) that he adds Why, Done and Access lines to every task in his to-do app (for example: Why, get paid before month end; Done, invoice sent and due date in the CRM; Access, Stripe and the signed proposal in Drive), and each morning tells his agent to pull every task due today, complete what it can, and tee up the rest for him or his assistant. His test: could someone who has never met you finish the task from the description alone?
You are my task assistant. Here is my to-do list for today: [paste tasks, or connect your to-do app]. Part 1, rewrite: for each task, add three lines. Why: the reason it matters or the deadline. Done: exactly what finished looks like, so anyone could check it. Access: which apps, files, threads or accounts are needed. If you can't tell any of these from what I gave you, ask me one short question per task instead of guessing. Part 2, run: for each task that now has Why, Done and Access, do as much of the work as you can with the access I've given you, such as drafting the email, filling the invoice or preparing the calendar invite. Stop before anything that sends, pays, books or deletes, and leave it for me to approve. Finish with a list: done, ready for my approval (with what I need to click), and blocked (with what's missing).
Stop your AI agents from quietly waiting on you: get one daily list of every question, approval and correction they need, sorted by what's blocking the most work
Once you run several AI agents, the slowest part is often you. Casey (@mylifenthestack) wrote on X (Oct 23, 2026), responding to Pawel Jozefiak's post on agent fatigue, that their agents handle the work but every approval and correction still comes back to them, and they found 15 questions waiting that they'd never seen. This prompt turns the scattered asks from your agents, chats and tools into one short daily decision list so nothing sits unanswered.
I use these AI agents and tools: [list, e.g. an email agent, a coding agent, a social media scheduler, Zapier automations]. Below I've pasted everything from the last [24 hours] where they asked me something or are waiting on me: messages, notifications, approval requests, drafts awaiting review. [paste]. Make me one decision list. For each item: which agent, what it needs from me in one line, what's blocked until I answer, and a suggested answer I can approve with a yes. Sort by how much work it's blocking. Group anything I can answer the same way into one batch. Then suggest up to 3 standing rules I could give my agents so they stop asking me about the same kind of thing (for example, approve refunds under $20), and flag anything that should always stay with me. Don't send or approve anything yourself.
Hand your office busywork to an AI agent safely, even on a locked-down work laptop: inbox sorting, call notes, filing and first drafts, with a rule that it never deletes anything
You don't need to code or have admin rights to get real office work off your plate. A non-developer posting as Dédale on X (Oct 23, 2026) wrote that an AI agent now does a real chunk of their office work on a locked-down work laptop, mostly before they sit down: sorting the inbox each morning, turning call notes into clean notes, filing attachments in the right folders, and producing first versions of Word, Excel and PowerPoint files. The mistake they made at the start was letting it delete files; now it moves everything to an 'Old' folder and nothing is thrown away, so the worst it can do is put a file in the wrong place. This prompt sets up that morning routine with the same no-delete rule. Check your employer's AI policy before connecting work accounts.
You are my office assistant. Golden rule: you NEVER delete, empty trash, or overwrite anything. If something should go, move it to a folder called 'Old' (create it if needed) and list what you moved. Also never send emails; only draft them. Every morning do this: 1) INBOX: sort new emails into [folders, e.g. Action today / Waiting on others / FYI / Newsletters], and give me a 5-line summary of what needs me today. 2) CALL NOTES: turn my rough notes in [folder or app] into clean notes with decisions, action items with owners and dates, and open questions. 3) FILING: save email attachments into the right folder using these rules: [e.g. invoices > Finance/2026/Month; contracts > Legal/Client name]. If unsure, put it in 'To file' and ask me. 4) FIRST DRAFTS: for anything in my task list marked [DRAFT], produce a first version in [Word / Excel / PowerPoint] using [template], marked DRAFT in the file name. 5) Finish with a short log: what you sorted, filed, moved to Old and drafted, and anything you weren't sure about.
More in AgentPlaybook Pro
- Inbox triage in draft modeSort email and draft replies without sending anything automatically.
- AI executive assistant setupSet up an agent that handles scheduling, reminders, and follow-ups.
- Have an agent chase a company over a faulty productHand the back-and-forth of a repair, warranty, or refund claim to an agent that writes to the company's support, answers their follow-up questions, and checks with you before sharing personal details, like Yantra's Lucy assistant getting a broken Dyson Airwrap fixed from a single text.
- Nightly cleanup of the notes your agents shareUse one notes vault as shared memory for all your AI agents and have an agent tidy it every night, fixing out-of-date facts and linking loose notes, like Eugeniu Ghelbur's Obsidian setup shared by eight agents including Claude Code and Codex.
- Get coached in real time during a customer service callBuild a small helper that listens to a call you've told the other side is being recorded, like a health insurance dispute, and shows you what to say next in a second or two. Kevin Labianco had Claude build one for his own insurance call and read its suggestions out loud as he went.
- Coordinate a family member's care across doctors, bills and follow-upsUse an agent as a healthcare advocate for a parent, partner or child: it keeps track of several specialists, catches missed follow-ups and test results, handles prescription refills and renewals, and helps challenge surprise bills and insurance denials. Vene launched on Oct 21, 2026 as an 'AI advocate for healthcare'; its founder says over 5,000 families use it, including his mom to coordinate her primary care doctor and endocrinologist and renew prescriptions.
- Plan your day around one morning question and review it at night with Benjamin Franklin's two-question scheduleBenjamin Franklin printed his daily schedule in his autobiography: at 5 a.m. he asked himself what good he would do that day, and at night he asked what good he had done. You can turn that into a simple routine with an AI assistant, planning the day around one meaningful goal each morning and doing a short honest review each evening. On Oct 22, 2026 the X account AI In Public shared a prompt that turns Grok Bot into a daily planner built on Franklin's two-question schedule.
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