by admin | Jul 13, 2026 | AI Tools
You just left a long online meeting, and now you are staring at a few messy lines you typed while half-listening. Who agreed to do what? What was that deadline? If you have ever tried to write notes and follow the conversation at the same time, you know it rarely works well.
This is where AI meeting assistants come in. These tools can join your call, write down every word, and hand you a clean summary with the action items already pulled out. In this guide I will explain what they are, which ones you may already have, how to use them, and the privacy side that most people forget to check.
What is an AI meeting assistant?
An AI meeting assistant is a tool that listens to your meeting, turns the speech into text, and then writes a short summary for you. Most of them give you three things: a full transcript of what was said, a summary of the main points, and a list of action items or next steps.
There are two main types. Some are built right into the meeting apps you already use, like Google Meet, Microsoft Teams, and Zoom. Others are separate tools that send a small bot into your call to take notes. Both do a similar job, so the right choice usually depends on which apps your team already lives in.
The AI note-takers you may already have
Before you sign up for anything new, check the apps you use every week. The big three all have their own note-taker built in.
- Google Meet has a feature called Take notes for me. Powered by Gemini, it captures the meeting in a Google Doc and adds a summary and action items. It is available on Google AI Pro and Ultra plans and eligible Workspace accounts.
- Microsoft Teams uses Copilot and its intelligent recap to summarize who said what and suggest action items. You need live transcription turned on, plus a Teams Premium or Microsoft 365 Copilot license.
- Zoom has AI Companion, which creates a meeting summary with key points, decisions, and next steps a few minutes after the call ends. An account admin needs to switch it on first.
Standalone tools like Otter
If your team jumps between different meeting apps, a standalone assistant can be easier. Otter is one of the best known. You connect your calendar, and its bot joins your Zoom, Google Meet, or Teams calls automatically. It writes a live transcript, builds a summary, and even lets you ask questions like “what were my action items?” after the call.
Otter is not the only one. Tools like Fireflies and Fathom do similar work, and several offer a free tier for light use. Free limits change often, so check the current plan on the tool’s own site before you rely on it. For a wider look at everyday AI tools, see our guide to useful AI tools for daily work and study.
How to use an AI meeting assistant
The setup is usually simple. Here is the basic flow that works for almost any tool.
- Turn on the note-taker before the meeting, or connect your calendar so it joins on its own.
- Tell everyone on the call that it is being recorded and transcribed.
- Run the meeting as normal and let the tool listen in the background.
- After the call, open the summary, read it, and fix anything the AI got wrong.
- Share the clean notes and assign the action items.
Where these tools really help
From my own experience running websites and online projects, the transcript is nice, but the real time saver is the action-item list. Instead of rewatching a call to find one decision, I get a short list I can drop straight into my task app. If you want to build on that, our guide on using AI for time management shows how to turn those items into a real plan.
Students get a lot out of these tools too. You can record a lecture (with permission), get a full transcript, then drop it into a tool like NotebookLM to turn it into a study guide or a quick quiz.
The privacy part people skip
Here is the part I always slow down on, because it touches privacy and security. An AI meeting assistant records and stores everything that is said, and sometimes that includes sensitive information. A few simple habits keep you safe.
First, always tell people they are being recorded. In many places you are legally required to get consent before recording a conversation, so do not treat it as optional. Second, avoid recording calls where people share private or confidential details unless everyone agrees. Third, check what the tool does with your data. Zoom, for example, says it does not use your meeting content to train its AI models, while Microsoft says Teams recap data is stored based on your organization’s own admin policy.
Quick tip: Treat every AI meeting summary as a first draft, not the final record. The AI can mishear names, numbers, and decisions, so read it once and correct it before you send it to anyone.
If you want a fuller checklist, our guide on how to use AI safely and protect your privacy covers what to share and what to keep out of any AI tool.
Common questions about AI meeting assistants
Are AI meeting assistants free?
Some standalone tools offer a free tier for a small number of meetings, while the built-in features in Google Meet, Teams, and Zoom usually need a paid plan. Because free limits and prices change often, check the current plan on each tool’s official site.
Do AI meeting notes make mistakes?
Yes. AI transcription is good but not perfect. It can get names, numbers, and technical words wrong, and it can misread who said what. Always review the summary before you treat it as an official record.
Is it legal to record a meeting with an AI note-taker?
It depends on where you and the other people are. Many regions require you to tell participants and get their consent before recording. The safe habit is to always announce that the meeting is being recorded and let people opt out. This is general information, not legal advice, so check your local rules for important calls.
Final takeaway
AI meeting assistants can save you real time by handling the boring part of meetings, so you can actually pay attention. Start with whatever is already built into Google Meet, Teams, or Zoom, or try a free standalone tool like Otter. Just remember the two rules that matter most: tell people they are being recorded, and always check the summary before you trust it. Do that, and you get the time back without the headaches.
by admin | Jul 10, 2026 | AI Tools
If you downloaded OpenAI’s Atlas browser last October to let ChatGPT handle your tabs, forms, and bookings, you’re about to get some news. OpenAI announced on July 9, 2026 that it is shutting Atlas down. The browser stops working on August 9, 2026.
This isn’t just a small product update. It’s a good moment to understand what “AI browser agents” actually are, why OpenAI is walking away from its own standalone browser after less than a year, and what your options look like now if you want an AI assistant that can act inside your browser.
What is happening to ChatGPT Atlas?
According to OpenAI’s own help center, Atlas is “scheduled to stop working on August 9, 2026.” OpenAI says it is folding the browser-based agentic features people liked about Atlas (multiple tabs, downloads, navigation, account login support) into the main ChatGPT app instead, along with a ChatGPT Chrome extension and sidebar for people who just want help while they browse in Chrome.
In plain terms: OpenAI decided it doesn’t need a whole separate browser to give people an AI agent that can click, scroll, and fill in forms for them. It would rather build that into ChatGPT itself and into a Chrome extension, which reaches far more people than a standalone app ever could.
What you need to do before August 9
If you have been using Atlas, OpenAI’s guidance is straightforward, but easy to miss if you don’t check your email:
- Export your bookmarks to an HTML file before August 9, then import them into Chrome or another browser.
- Save or copy the URLs of any open tabs you care about. Tabs will not carry over automatically.
- Bookmark or save anything from your browsing history you might need later.
- Treat any exported cookie or session files as sensitive data. Don’t share them with anyone you don’t fully trust.
Quick tip: your ChatGPT conversation history is completely separate from your Atlas browser data, so none of your actual chats are at risk. It’s only the browser-specific stuff (bookmarks, tabs, history, cookies) that needs manual saving.
Why this matters even if you never used Atlas
Atlas launched in October 2025 as OpenAI’s bet that people wanted an entire browser built around ChatGPT. Less than a year later, that bet didn’t pay off the way a standalone product needed to. That’s a useful signal about where this whole “AI browser agent” category is actually heading in 2026: not a handful of separate browsers competing for your default browser slot, but AI assistants that plug into the browser you already use.
From my own experience testing different AI tools for client websites and day to day work, the products that stick are usually the ones that fit into an existing habit rather than asking you to replace one. A Chrome extension is a much smaller ask than “switch your entire browser.”
What are your options now?
If you liked the idea of an AI agent handling browser tasks for you, a few real alternatives exist today, and they take different approaches:
- Perplexity Comet is a full standalone browser, available on Mac, Windows, iOS, and Android, that can research, summarize, and complete multi-step tasks for you. If you want to try the “browsing assistant” idea, this is the most direct like-for-like replacement for what Atlas offered.
- Claude in Chrome (Anthropic) is a Chrome extension rather than a full browser. It can read a page, click buttons, fill in forms, and work across multiple tabs, and it’s currently available to Pro, Team, and Enterprise plan subscribers.
- Gemini in Chrome lives inside Google’s own Chrome browser as a side panel, with an “auto browse” agent mode for multi-step tasks like comparing prices or filling out forms, available to Google AI Pro and Ultra subscribers.
If you’re just getting started and don’t want to commit to a subscription yet, our ChatGPT vs Gemini vs Claude comparison and our guide to what Perplexity AI actually does are good places to see how these tools differ before you pick one.
The privacy question worth asking
Any tool that can see and act on everything you do in a browser, your open tabs, your logged in accounts, your shopping carts, deserves a moment of caution. Before you let an AI agent browse on your behalf, check what permissions it’s asking for, avoid giving it access to banking or health accounts, and review its data settings. We cover this in more detail in how to use AI safely and protect your privacy, which is worth a read regardless of which tool you end up choosing.
This is also a good moment to remember that “agentic” AI is still new. Mistakes happen: an agent might click the wrong button, submit a form early, or misread a page. Keep an eye on what it’s doing, especially for anything involving money or personal information.
Common Questions
Will my ChatGPT conversations be deleted when Atlas shuts down?
No. Your ChatGPT conversation history is stored separately from Atlas browser data, so it stays available in the regular ChatGPT app.
Do I have to switch to a new browser right away?
No, but you should export your Atlas bookmarks and save any important tabs or history before August 9, 2026, since that data won’t transfer automatically.
What replaces Atlas for AI browsing?
OpenAI is moving browser-based agent features into the main ChatGPT desktop app and a ChatGPT Chrome extension. If you want a different option, Perplexity Comet, Claude in Chrome, and Gemini in Chrome all offer similar AI browsing assistance.
Final takeaway
OpenAI killing its own Atlas browser after less than a year isn’t really a failure story, it’s a sign the whole AI browsing space is still figuring itself out. If you used Atlas, take ten minutes this week to export your bookmarks and save what matters. And if you’re curious about AI agents that can act inside your browser, you now have a clearer picture of where each major player stands, and it’s worth reading up before you hand any of them the keys.
by admin | Jul 6, 2026 | AI Tools
Writing a thesis can feel like doing three jobs at once. You are the researcher hunting for papers, the writer drafting chapters, and the admin keeping hundreds of references in order. So it makes sense that so many students now search for an “AI thesis writer” and hope one tool will do it all.
Here is the honest answer up front: no AI tool should write your thesis, and the ones that promise to are the ones to avoid. But the right tools, used openly and carefully, can save you real hours every week. This guide walks through the AI tools for thesis writing that actually help, what each one is good at, and the rules to check before you touch any of them.
Before the tools: one rule that protects you
Universities now treat AI use in a thesis as something you agree with your supervisor first, not something you quietly do on the side. The University of Toronto’s graduate school guidance, updated in June 2026, is a good picture of where things stand: get clear approval from your supervisor before using generative AI for research or writing, and describe in the thesis which tools you used, how, and why.
Your university will have its own version of these rules, and they can differ between departments in the same building. Check them first, get the agreement in writing, and keep notes on what you used. That one short conversation protects your degree.
What AI tools for thesis writing can honestly do
Think of AI as a research assistant, not an author. It is genuinely useful for four jobs: finding relevant papers, understanding sources faster, keeping citations organised, and sharpening text you wrote yourself.
What it cannot do is produce the original contribution a thesis is judged on. University guidance points out that AI-generated text may not meet originality requirements, and you are fully responsible for anything it produces, including its mistakes. If a chatbot writes a paragraph and that paragraph is wrong, it becomes your problem in the exam room, not the chatbot’s.
Finding papers: Elicit
Elicit is built for academic search. Instead of guessing keywords, you ask a research question in plain English and it searches a database of over 138 million papers, returning answers with citations that link back to the underlying sources. That makes it a strong starting point for a literature review, because you can see what already exists before you commit to a research gap. There is a free version, which is enough to test it on your own topic.
Treat it as a discovery tool. Skim what it surfaces, then read the papers that matter yourself. We covered a sensible reading workflow in our guide on how to summarize research papers with AI.
Understanding your sources: NotebookLM
Once you have a pile of PDFs, Google’s NotebookLM lets you upload them and ask questions that are answered only from those documents, with citations pointing to the exact passages. That grounding makes it far safer for thesis work than a general chatbot, because it works from your sources instead of its memory.
It shines when you need to interrogate your own literature pile. “Which of these papers used a sample under 100 people?” becomes a ten second question instead of an afternoon. Our beginner’s guide to NotebookLM walks through setting it up step by step.
Keeping citations honest: Zotero
Zotero is free, open source, and has been the quiet workhorse of academic writing for years. It collects papers as you browse, organises them into collections, and formats references in over 9,000 citation styles directly inside Word, LibreOffice, and Google Docs.
Why does a citation manager belong on an AI list? Because chatbots are famous for inventing references that look real but do not exist. Every citation in your thesis should come from a paper you actually opened and saved. If you want to understand why AI makes sources up, our explainer on AI hallucinations is worth five minutes.
Improving your writing without losing your voice
The safest way to use ChatGPT, Claude, or Gemini on thesis text is as a critic, not a ghostwriter. Paste a paragraph you wrote (once your supervisor has agreed to this) and ask it to flag unclear sentences, weak transitions, or claims that need evidence. You keep the writing. It supplies the questions. And keep unpublished data out of chatbots entirely; our guide on using AI safely explains what should never be pasted into a free tool.
Quick tip: ask AI to interrogate your draft instead of rewriting it. A prompt like “List the three weakest arguments in this section and ask me the questions an examiner would” makes your thinking better, and the words stay yours.
I have watched PhD researchers around me lose whole evenings to reference lists a free tool could format in seconds. The pattern repeats everywhere, including in my own work with websites and digital projects: AI helps most with the boring jobs and least with the thinking jobs. A thesis is mostly a thinking job.
What to avoid
Be careful with anything marketed as an “AI thesis writer” or “dissertation generator”. A tool that promises finished chapters is selling you an academic misconduct case with a subscription button. Unauthorized AI use can be treated as an offence under university codes of conduct, and examiners can and do ask you to defend every paragraph.
Also, do not cite a chatbot as if it were a source. If AI use is permitted, you disclose the use itself. Style guides now cover this; the APA Style guidance on citing ChatGPT is a widely used example.
Common Questions
Can AI write my thesis for me?
No. A thesis is assessed on your original contribution, and AI-generated work may not meet that bar. Unauthorized AI writing can count as misconduct, and you must defend the text in your oral exam either way.
Do I have to tell my university I used AI?
In most cases, yes. Current university guidance expects supervisor approval in advance plus a clear description in the thesis of which tools you used and how. Rules vary by institution and department, so always check yours.
What is the best free AI tool for thesis writing?
There is no single best tool because the jobs are different. Elicit is strong for finding papers, NotebookLM for questioning your own sources, and Zotero for citations. All three have free versions, and together they cover most of the thesis workflow.
Final takeaway
AI will not write a good thesis, but it can clear the path so you can. Agree the rules with your supervisor, let Elicit widen your reading, let NotebookLM question your sources, let Zotero guard your references, and keep the writing yours. The thesis with your voice in it is the one worth defending.
by admin | Jul 3, 2026 | AI Tools
Learning to code used to mean sitting alone with a broken program, a strange error message, and nobody to ask. A single missing bracket could cost you an hour. If that kind of frustration has ever kept you from starting, here’s some good news. You can now use AI to learn coding with a patient helper sitting right beside you at every step.
Tools like ChatGPT, Claude, and GitHub Copilot can explain code in plain English, catch your mistakes, and answer the “but why does this work?” questions a textbook skips. Used the right way, they make coding feel far less scary. Used the wrong way, they can quietly stop you from ever learning. This guide shows you the difference.
Can you really use AI to learn coding?
Yes, and it’s one of the smartest ways to use AI today. Think of it as a tutor who never gets tired of your questions. You can paste a confusing block of code and ask it to explain each line. You can describe what you want a program to do and ask how to begin. You can share an error message and get a calm, plain-English reason for what went wrong.
There’s one catch. AI is great at handing you answers, but you don’t learn much by reading answers. You learn by trying, getting stuck, and working your way out. So the goal is to use AI as a guide, not as a machine that does the work for you.
The AI tools that help beginners learn to code
A few free tools cover almost everything a beginner needs:
- ChatGPT (from OpenAI) is excellent for explaining ideas, fixing errors, and writing small examples. The free plan is plenty to start.
- Claude (from Anthropic) is strong at walking through longer code slowly and clearly.
- GitHub Copilot lives inside your code editor and suggests lines as you type. It has a free plan for individuals.
- Gemini (from Google) is handy for quick questions and is built into tools many students already use.
You don’t need all of them. Pick one chat tool for questions, and add Copilot later once you’re writing real code. If you’re not sure which assistant fits you, our guide comparing ChatGPT, Gemini, and Claude breaks down the differences in simple terms.
How to learn with AI instead of just copying
Here’s the routine that actually builds skill:
- Try it yourself first. Write a rough attempt before you ask AI anything.
- Sit with the error for a minute. Read it yourself before pasting it anywhere.
- Ask AI to explain, not to fix. “Explain what this error means in simple words” teaches you more than “fix my code.”
- Rebuild from memory. Close the answer and try to write it again on your own.
Tip: Ask the AI to act like a tutor, not a vending machine. A prompt such as “Don’t give me the full answer, just a hint and one question to guide me” keeps your brain doing the work.
Free places to learn coding (with AI alongside)
You don’t need an expensive bootcamp. Some of the best beginner resources are completely free:
- Harvard’s CS50 is a famous, beginner-friendly intro to computer science. You can take it for free, and the 2026 version even added a section on how AI is changing coding.
- freeCodeCamp offers free hands-on lessons and real projects in web development and Python.
- Microsoft Learn and Google both have free coding paths you can work through at your own pace.
Use AI as your study partner while you go through these. When a lesson confuses you, ask your AI tutor to explain the same idea a different way. If you also want to understand the AI side of things, our guide on how to learn AI for free lists more no-cost options.
The risk every beginner should know
AI code can look perfect and still be wrong. It sometimes invents functions that don’t exist, and it can make security mistakes a new coder would never spot. A well-known Stanford study found that people using an AI coding assistant actually wrote less secure code, and, worse, they felt more confident it was safe. More bugs and more confidence at the same time is a risky mix.
From my own experience building websites and small online tools, AI is a real time-saver, but I never ship code I don’t understand, especially anything touching passwords, logins, or user data. That single habit, built up over years around cybersecurity, matters more than any clever shortcut.
It’s the same reason AI sometimes gives confident but false answers in normal chat. We explain why in AI hallucinations explained. For code, the fix is simple: read it, test it, and understand it before you trust it.
A simple four-week plan to get started
- Week 1: Pick one language. Python is the friendliest. Do the first few lessons on CS50 or freeCodeCamp.
- Week 2: Build something tiny, like a number-guessing game. Try it yourself, then ask AI to explain the parts you don’t get.
- Week 3: Practise reading errors. Every time one appears, ask AI what it means before you fix it.
- Week 4: Rebuild your project from scratch with no help. This is where it clicks.
Keep your sessions short and regular. Thirty focused minutes a day beats one rushed weekend every time.
Common questions
Do I need to know coding before using AI?
No. AI is a great way to start from zero, as long as you use it to learn rather than to copy answers.
Which AI is best for learning to code for free?
ChatGPT, Claude, and Gemini all work well on their free plans for questions and explanations. GitHub Copilot is best once you’re writing real code in an editor.
Can AI replace a coding course?
Not really. AI is a brilliant tutor, but structured courses like CS50 give beginners the order and practice they need. The best results come from using both together.
Final takeaway
AI has made coding easier to start than at any time before. The trick is to treat it like a tutor, not a shortcut. Write the code yourself, use AI to understand your mistakes, and always check what it hands you before you trust it. Do that consistently, and coding stops feeling like a mystery. You start to enjoy it, and that’s when real progress begins. And if you’d rather explore AI without writing any code at all, our guide on how to learn AI without coding is a good next step.
by admin | Jun 29, 2026 | AI Tools
Here is a familiar moment. You type a question into Google, get ten blue links, and start opening tabs to dig out the actual answer. Or you ask a chatbot like ChatGPT, get a clean reply, but have no easy way to see where those facts came from. Perplexity AI tries to sit right in the middle of those two experiences.
It answers your question in plain English, searches the live web while it does, and shows you the sources it used. In this guide I’ll explain what Perplexity AI is, how it differs from a normal search engine, and how to use it well, all in simple language and with no hype.
What is Perplexity AI?
Perplexity AI is a free tool that the company calls an “answer engine.” Think of it as a mix between a search engine and a chatbot. You ask a question the way you’d ask a knowledgeable friend, and instead of handing you a list of links, it writes a short, direct answer and adds numbered citations so you can check where each part came from.
It launched in 2022 and has grown quickly. You can use it in any web browser at perplexity.ai, and there are free apps for iPhone and Android. You can even start without creating an account, which makes it easy to try before you commit to anything.
How it differs from Google and ChatGPT
A normal search engine points you to pages and leaves the reading to you. A standard chatbot writes an answer, but the free versions often pull from training data and don’t always show their sources, which is one reason they sometimes get facts wrong.
Perplexity’s main idea is to do both jobs at once. It searches the web in real time, then writes the answer with clickable sources attached. That makes it a strong choice for “what’s the latest on…” questions, where fresh and sourced information matters. If you want a fuller comparison of the main chatbots, our guide on ChatGPT vs Gemini vs Claude breaks down where each one fits.
How to use Perplexity AI step by step
Getting started takes about a minute:
- Open perplexity.ai in your browser, or download the app.
- Type your question in normal language, for example “What are the best free budgeting apps in 2026?”
- Read the short answer, then click the small numbered sources to confirm the details.
- Ask a follow-up. Perplexity remembers the conversation, so you can refine your question instead of starting over.
The clearer your question, the better the answer. That holds for every AI tool, and our guide on writing better AI prompts shows simple ways to ask. Perplexity’s own getting started guide is also worth a quick look.
What Perplexity AI is good for
It works best whenever you want a quick answer backed by sources. A few everyday examples:
- Researching a topic fast and getting links you can read in full.
- Comparing options, like two phones, two tools, or two cities.
- Getting a plain-English summary of something complicated.
- Checking recent information, such as news or events, then verifying it through the cited pages.
From my own experience working with websites and online tools, I find it most useful as a fast first step. It points me to real sources in seconds, and then I do the deeper reading myself.
Free vs Pro: what you actually get
The free version is genuinely useful and enough for most people. You get cited answers and standard searches without paying anything. There is also a paid plan called Perplexity Pro that adds more powerful AI models, the ability to upload and search your own files, and a higher number of advanced “Pro” searches each day.
Limits and prices change over time, so check the current details on Perplexity’s site rather than trusting an old number you read somewhere. For everyday questions, the free plan is a fine place to start.
A few honest cautions before you rely on it
Showing sources is a big step forward, but it doesn’t make any AI perfect. Perplexity can still misread a page or summarize it in a slightly wrong way, so those citations are there for a reason: use them. It is the same habit we talk about in our guide to why AI sometimes gives wrong answers.
There is a privacy side too. Whatever you type into an AI tool may be processed on its servers, so avoid pasting passwords, client data, or anything sensitive. If that idea is new to you, our guide on using AI safely covers the basics in plain terms.
💡 Quick tip: Always click the numbered sources under a Perplexity answer before you trust an important fact. The citations are the whole point of the tool, so actually open them.
Common Questions
Is Perplexity AI free?
Yes. There is a free version you can use without even making an account, plus a paid Pro plan with extra features for people who want more.
Is Perplexity AI better than ChatGPT?
They are built for slightly different jobs. Perplexity is great for sourced answers from the live web, while ChatGPT is strong for general writing and everyday tasks. Plenty of people use both.
Can I trust the answers?
Treat them as a helpful starting point. The cited links let you verify quickly, which you should always do for anything that really matters, like health, money, or work.
Final takeaway
Perplexity AI is one of the easiest ways to get a clear answer with its sources attached, and it costs nothing to start. Use it for quick, sourced research, click through to the citations, and lean on other tools when you need them. For more ideas straight from the team, Perplexity’s practical tips guide is a handy next read. Try it on one question you are curious about today, and see how it feels.
by admin | Jun 26, 2026 | AI Tools
How many hours a week do you spend just writing emails? For a lot of us it is more than we would like to admit. You open a reply, rewrite the first line four times, and still worry it sounds off. This is exactly the kind of small, repeated job that AI is actually good at.
In this guide you will learn how to use AI to write emails faster without losing your own voice. We will keep it practical: the free tools, a simple prompt you can reuse, a few real examples, and one privacy habit that matters more than most people think.
Why email is a great first task for AI
Email has a clear shape. There is a reason for writing, a person on the other end, and a result you want. That structure is easy for AI to follow, and it is also easy for you to check. If the draft is wrong, you spot it in seconds.
From my own experience running websites and online projects, email is where AI saved me the most time early on. Not by writing anything clever, just by turning rough notes into a clear message I could send and move on.
Free tools that can write emails with AI
You do not need to pay anything to start. The free versions of the big AI chat tools handle email drafting well: write a quick instruction, copy the result, and paste it into your email.
- ChatGPT at chatgpt.com, free to use in a browser.
- Google Gemini at gemini.google.com, also free for everyday use.
- Microsoft Copilot, free in the browser and the Copilot app.
Some email apps build this in. Gmail has a “Help me write” button powered by Gemini, explained on the Gmail Help pages, and Outlook has “Draft with Copilot”, covered in Microsoft’s support guide. These sit right inside your inbox, though the built-in versions often need a paid plan. If you are weighing up which assistant to commit to, our guide comparing ChatGPT, Gemini, and Claude is a good next read.
A simple prompt formula to use AI to write emails
The quality of the email depends on what you tell the AI. A blank request like “write an email” gives you a bland, generic message. Instead, give it five quick details:
- Who you are and who you are writing to
- The goal of the email in one line
- The main points to include
- The tone you want, such as friendly, formal, or apologetic
- How long it should be
Here is what that looks like in practice: “Write a short, friendly email to a client named Sara. I am running two days late on her website delivery. Apologise, give the new date as Friday, and reassure her the quality will not drop. Keep it under 90 words.” That single prompt gives you a draft you can send with a small tweak. If you want to get sharper at this, we have a full guide on writing better AI prompts.
Real examples you can copy
Most daily emails fall into a few familiar types. Here are quick prompts for the awkward ones:
- Saying no politely: “Help me decline this meeting invite without sounding rude, and suggest a short call next week instead.”
- Chasing a reply: “Write a gentle follow-up to a client who has not responded in a week. Friendly, not pushy, under 70 words.”
- Handling a complaint: “Reply to an unhappy customer. Acknowledge the problem, apologise once, and offer a clear next step.”
- Introducing yourself: “Write a short cold email introducing my web design service to a local business owner. Warm, not salesy.”
Keep your own voice
The biggest mistake is sending the first draft word for word. AI writing has a certain flavour, and people can feel it. A quick fix is to paste one of your own past emails and say “match this style”. Then read the draft out loud before sending. If a sentence is not something you would actually say, change it.
Think of AI as a fast first-draft writer, not the final author. You are still the one who hits send, so the message should sound like you, not the machine.
Quick tip: never paste passwords, bank details, client contracts, or anything confidential into a public AI tool. Treat the chat box like a postcard, not a locked drawer.
One privacy habit worth keeping
Because I work around cybersecurity, this is the part I care about most. Free AI tools may use what you type to improve their systems, so sensitive details do not belong there. Write around them: use “the client” instead of a real name, and add the private specifics yourself after the draft is ready.
Also check the facts, because AI can confidently invent a date, a price, or a title. Read every draft before it goes out. For more on this, see our guide on how to use AI safely and protect your privacy, plus our roundup of useful AI tools for daily work and study.
Common questions
Is it free to use AI to write emails?
Yes. The free versions of ChatGPT, Gemini, and Microsoft Copilot can all draft emails in a browser at no cost. Built-in inbox features like Gmail’s Help me write or Outlook’s Draft with Copilot may need a paid plan.
Will people know my email was written by AI?
Not if you edit it. Adjust the wording, trim anything that sounds stiff, and add a personal line. The goal is a message that sounds like you on a good day.
Can AI read my whole inbox?
A chatbot in a browser only sees what you paste in. Inbox-integrated tools can use more of your email to add context, which is why it is worth checking each tool’s privacy settings before turning it on.
Final takeaway
Writing emails with AI is one of the easiest wins you can get this week. Pick one free tool, give it the five details it needs, edit the draft so it sounds like you, and keep private information out of the chat box. Do that and you will spend less time staring at blank replies, and more time on the work that actually matters.
