The Complete ChatGPT Guide 2026

ChatGPT stopped being a chatbot a while ago. What you are logging into in 2026 is closer to an operating system with a text box on the front of it. It writes, reasons, codes, researches the web, generates and edits images, holds a real-time voice conversation, reads your files, connects to over a thousand third-party tools, drives a browser, clicks around your actual desktop, and takes a goal and works on it for hours until there is a finished spreadsheet or deck sitting in front of you.

The one-line version: ChatGPT is three products in one window. Chat for answers, Work for finished deliverables, and Codex for code. Most people only ever use the first one, which is why they think it peaked in 2024.

And as of September 2026 there is a new engine at the top: GPT-6 Astra, OpenAI's most capable model, built for exactly that kind of long, end-to-end work. More on it in the models section, including who actually gets it.

Getting Started on Every Platform

Setup takes about two minutes. Where you use ChatGPT matters, because the three platforms are not equivalent.

Web ( chatgpt.com)

Sign up with email, Google, Microsoft or Apple. Free gives you unlimited text chats on GPT-5.6 Luna. The web app is the only place company knowledge works for business accounts, and it is where most people live.

Desktop app: the one that changed everything

Download from chatgpt.com/download. This is the important one now. The desktop app is the only place you get the built-in browser, Computer Use (ChatGPT clicking around your actual machine), Record mode, Appshots, and local file access. It is available on every plan, including Free, on macOS and Windows, with a Linux version in public preview.

Mobile (iOS and Android)

Full voice, camera, and Remote, which pairs your phone with a Mac or Windows machine running the desktop app so you can kick off and check on tasks from your pocket. ChatGPT Work on mobile requires Plus or above.

The first thing to do after signing up

Before you ask a single question, go to Settings, Personalization, Custom Instructions and tell it who you are. This context is applied to every conversation and it is the single highest-leverage five minutes you will spend.

Prompt 1

CUSTOM INSTRUCTIONS TEMPLATE
# WHAT I DO
I run [business/role]. My audience is [who]. My main goals right now are [goal 1] and [goal 2].
# HOW TO ANSWER ME
Be direct. No preamble, no filler, no "great question". If I'm wrong, say so and tell me why. Give me the answer first, then the reasoning if I ask. Use plain language. Never use em dashes.
# WHAT I ALREADY KNOW
Assume I understand [X]. Don't explain the basics of [Y] unless I ask.

Then go to Settings, Personalization, Advanced and switch on web search and connector search. Connector search is off by default for most people, which is why they think ChatGPT cannot see their Drive or Gmail. It can. You just never turned it on.

The Models, Explained Properly

OpenAI's naming works like this: the number is the generation (5.5, 5.6, 6). The name is the tier. In the 5.6 family, Sol is the flagship, Terra is the balanced one, Luna is the fast cheap one. GPT-6 launched as a single model called Astra that sits above all of them.

But here is the part that trips everyone up: in normal chat, you do not pick a model. You pick a reasoning level. The model picker shows effort settings, and the effort you choose determines which model runs.

The reasoning levels

Instant is the everyday default. On paid plans it runs GPT-5.6 Sol, on Free and Go it runs GPT-5.6 Luna. Everyday questions, writing, lookups, translation. 80% of your work.
Medium runs GPT-5.6 Sol with standard reasoning for analysis, planning and moderately hard problems. Plus and above.
High runs GPT-5.6 Sol at extended effort. Hard maths, legal analysis, multi-step code. Plus and above.
Extra High runs GPT-5.6 Sol at maximum effort. Slow, expensive, occasionally worth it. Pro, Business and Enterprise only.
Pro runs the Pro-grade models, GPT-5.6 Sol Pro and now GPT-6 Pro. The hardest tasks and long-running workflows. Pro, Business and Enterprise only.

Plus does not get Extra High or the Pro level. Plus gets Instant, Medium and High. Free and Go do not get GPT-5.6 Sol at all, but both now have a Think button for harder questions, and text chat is unlimited on every plan.

GPT-6 Astra, the new top model

GPT-6 Astra is OpenAI's frontier model, launched in early September 2026 as the successor to GPT-5.6. It is one model, not a family, and it is built for long, hard, end-to-end work: million-token context, roughly twice as fast at Computer Use, and the engine behind the newest agent features.

Who actually gets it: in regular chat it appears as GPT-6 Pro on the Pro plans and Business tiers, with weekly message limits. In ChatGPT Work and Codex it shows up by name as Astra at the top of the picker, and there even Plus users can run it, metered against the normal Work and Codex allowance. If you are on Plus and wondering why you cannot find GPT-6 in chat, that is why: for you it lives in Work and Codex, not in the chat picker.

GPT-5.6 Sol is still the model doing your everyday chatting. You are not missing much day to day. Where Astra earns its keep is the big agentic jobs.

The other models

GPT-5.6 Terra. Balanced capability, speed and cost. Not selectable in chat. Available inside Work and Codex.
GPT-5.6 Luna. Fastest and cheapest of the 5.6 family, and the model behind Free and Go chat. Also selectable inside Work and Codex on paid plans.
GPT-5.5. Available as a legacy pick for Plus and Pro if you have workflows tuned to it.
Lightweight fallbacks. When you burn through an allowance, ChatGPT quietly drops you to a mini version until it resets.

Turn on automatic switching in the model picker, then Configure, and let Instant escalate to Medium on its own. Auto-switches do not count against your manual reasoning allowance, so this is free extra intelligence.

Which one should you actually use?

Start on Instant. Always. The single most common mistake right now is people cranking every task to maximum reasoning because they assume higher is better. It is not. On simple tasks a high-effort model over-thinks, invents problems that do not exist, and produces a worse answer more slowly.

Escalate when Instant gives you a surface-level answer, when the task has multiple dependent steps, or when being wrong is expensive.

The cheapest trick in this guide: before running a big job, paste the prompt into a normal chat and ask, "Which reasoning level should I run this at, and why?" It will tell you. This alone will save you a lot of wasted time and usage on Pro-tier work that Medium would have nailed.

Context windows by plan

Free: 27K Instant context, roughly 12 pages of input.
Go: 54K Instant, roughly 40 pages. 256K reasoning context.
Plus: 54K Instant, roughly 40 pages. 256K reasoning context, roughly 320 pages.
Pro: 128K Instant, roughly 250 pages. 400K reasoning context, roughly 680 pages. GPT-6 Astra adds a million-token class window on top, in Work, Codex and the API.

That number is the total shared window. System instructions, tools, personality and your memories all eat into it, so the space actually available for your input is smaller than the headline figure. This is why long chats get dumb. You are slowly filling the window with your own conversation.

Pricing: What You Really Get

Six plans. Here is the honest breakdown, including the bits OpenAI does not put in the marketing copy.

Free ($0). GPT-5.6 Luna. Unlimited text chats. Basic image generation, limited deep research, up to 3 scheduled tasks. Shows ads.
Go ($8/mo). Everything in Free with higher limits, more image generation, longer memory and expanded voice mode. Still shows ads. Limited deep research, no advanced reasoning.
Plus ($20/mo). The one most people should be on. Ad-free, with the model picker for GPT-5.6 Sol at selectable effort levels, plus Terra, Luna and Astra inside Work and Codex. Deep Research, Codex, ChatGPT Work, Sites, Tasks and three hours a day of full GPT-Live voice. Higher usage caps, with weekly limits on heavy reasoning.
Pro ($100/mo). The general power-user tier: expanded usage across Codex and Work (about five times Plus), 15 hours a day of voice, plus 50 Pro-level messages a week in chat, shared between GPT-6 Pro and GPT-5.6 Sol Pro.
Pro ($200/mo). Effectively unlimited flagship access and priority compute. GPT-6 Pro at 200 messages a week plus a separate 170 GPT-5.6 Sol Pro messages a day, unlimited voice, and most other caps removed. One catch: OpenAI paused new sign-ups and upgrades to this tier on September 10, 2026 while it adds capacity for Astra. Existing subscribers keep it and renew normally; everyone else waits for it to reopen.
Business ($25/user/mo, or $20 on annual billing, 2-seat minimum). Team workspace with admin controls. Business data is not used for training. A Premium seat tier at $125/user/mo ($100 annual) carries about five times the usage with no five-hour cap, and you can mix seat types. GPT-6 Pro is included at 15 messages a month on Standard seats and 50 a week on Premium seats, and Business tops out at 200 seats.
Enterprise (custom). Adds SCIM, IP allowlisting, data residency, compliance API logs, analytics dashboard, ISO certifications.

The $100 and $200 tiers are not the same product. The $100 Pro plan is the expanded-usage tier. The $200 Pro plan is the full flagship bundle with effectively unlimited access and priority compute. You can switch tiers anytime in Settings, My Plan, except that the $200 tier is closed to new sign-ups until OpenAI reopens it.

Which plan is right for you

You just want to try it. Free. It is genuinely capable now. GPT-5.6 Luna is not a crippled model, and text chats are unlimited.
You use it a few times a day for simple stuff. Go at $8. Higher limits, more image generation, longer memory, expanded voice. But be clear about what you are not getting: no advanced reasoning, barely any deep research, and ads.
You use it for work. Plus at $20. This is the real product. The jump from Go to Plus is $12 and it buys you the full model picker with effort levels, Deep Research, Codex, ChatGPT Work, Tasks, and no ads. If you are choosing between Go and Plus, choose Plus. It is not close.
You live in Work and Codex all day. Pro at $100. Go to Pro at $200, once it reopens to new sign-ups, if you want unlimited flagship access across everything. ChatGPT Work and Codex are usage-metered, and a single ambitious Work task at high effort can chew through a lot of allowance in one go.
You have a team. Business at $25/user/mo, or $20 on annual billing. The thing you are really buying is company knowledge (ChatGPT searching across your Slack, Drive, SharePoint and Jira with citations) and the guarantee that your data is not used for training. Put your heaviest users on Premium seats.

Nonprofits get up to 75% off Business or Enterprise. Verified US K-12 teachers get ChatGPT for Teachers free through June 2027. Neither of these is advertised well.

There is no annual billing for Go, Plus or Pro. Only Business and Enterprise have annual plans. If someone offers you a discounted annual ChatGPT Plus subscription, it is a scam.

Ads, and How to Kill Them for Free

Yes, ChatGPT has ads now. They started in the US in early 2026 and have since spread to Canada, the UK, Australia, and a growing list of markets in Europe, Asia and Latin America. They appear below the end of a response, labelled as sponsored, one per response.

Free and Go see ads. Plus, Pro, Business, Enterprise and Edu are completely ad-free. Ads are never shown to under-18 accounts and never near sensitive topics like personal health, mental health or politics. Political advertising is not allowed at all. Advertisers see aggregate clicks, not your chats, memories, email or location. Ads do not influence the answer itself, those are separate systems.

The hidden ad-free option on the free plan: almost nobody knows this exists. Go to Settings, Ads controls, and switch to the ad-free version of Free. The trade: fewer daily messages and reduced tool access. You can switch back any time. This is Free-plan only. Go users cannot do it.

Settings, Ad Controls also lets you turn off ad personalisation, hide or report individual ads, see why you got a specific ad, and clear your ads data. If personalisation is on, ads can draw on your past chats and memory. If that bothers you, that toggle is the one to find.

Navigating the Interface

The sidebar

Conversations grouped by date, with search, pin, rename, archive and delete. Above them sit Projects, Skills, Scheduled tasks, GPTs and the Plugin directory. On the desktop app you also get the mode switcher: Chat, Work, Codex.

The model picker

Top of the conversation. Shows your reasoning level, not a model name. Click Configure inside it to turn automatic switching on or off.

The composer

+ or paperclip. Attach files. Images, PDFs, DOCX, XLSX, CSV, code. Drag and drop works.
@. Call a specific plugin or app directly. Type @ then the app name. Works inside scheduled tasks too.
Search toggle. Force a web search with citations.
Image. Native image generation and editing.
Mic. Voice. On mobile, with live camera.
Writing and code blocks. Long drafts and code open as editable blocks inside the chat, so you change one paragraph or one function without regenerating the whole thing.
Tools menu. Deep research, study mode, record, and (on business plans) company knowledge.

Keyboard shortcuts

Enter: send.
Shift + Enter: new line without sending.
Cmd/Ctrl + Shift + O: new chat.
Cmd/Ctrl + Shift + C: copy last response.
Cmd/Ctrl + Shift + S: toggle sidebar.
Option + Space (Mac) or Alt + Space (Windows): summon ChatGPT from any app (desktop app).
Both Command keys (Mac): Appshot, sends the front window to ChatGPT as context.
Cmd/Ctrl + G: search tasks (desktop app).
Cmd/Ctrl + /: show all shortcuts.

Response controls people never touch

Hover any response and hit the three-dot menu. You can retry more concisely or with web search in one click, with no re-prompting. You can also branch the conversation into a new chat, which forks it from that point without polluting the original thread. That last one is genuinely useful and almost nobody uses it.

ChatGPT Work

This is the headline feature of ChatGPT in 2026.

Chat gives you an answer. Work gives you a finished deliverable. You give it a goal. It gathers context from your files, your connected apps and the browser, breaks the job into steps, shows you a plan, and then goes away and works on it, sometimes for hours, and comes back with a spreadsheet, a deck, a document, a report or a live website. On the biggest jobs it can now run on GPT-6 Astra, the model built exactly for this.

Under the hood it is Codex technology pointed at knowledge work instead of code. Which, as one YouTuber put it, makes it "Codex with the scary word removed." That is a fair jab, but it undersells what it does for a non-coder.

How to use it

Open the Work tab in the desktop app sidebar, or on web and mobile if you are Plus and above.
Give it a goal, not a task. "Summarise this file" is a chat request. "Build me a competitor benchmark deck covering these five companies, using our Q2 numbers from Drive" is a Work request.
Use Plan mode. It will gather context, ask you clarifying questions, and produce a step-by-step plan. Read the plan. This is your one cheap chance to correct it before it spends an hour going the wrong direction.
Approve and walk away. It works in the background. On the desktop app it can keep working while your Mac is locked.

Five prompts that show what it can actually do

Prompt 2

THE DAILY COMMAND CENTER
Review my inbox, my calendar and my Slack from the last 24 hours. Build me a one-page command center with: my top 3 priorities today, anything genuinely urgent, decisions that are waiting on me, and anything I said I'd do and haven't. Output as a PDF I can read in 60 seconds.

Prompt 3

THE FOLDER ANALYSIS (DESKTOP ONLY)
Analyse every file in this folder. Build me a spreadsheet with one row per file: what it is, when it was last touched, what it's for, and whether it's still relevant. Flag duplicates and anything that looks out of date.

Prompt 4

THE COMPETITOR BENCHMARK
Research these 5 competitors: [list]. For each: pricing, positioning, target customer, main weakness, and what they've shipped in the last 6 months. Cross-reference against our positioning in the attached doc. Deliver as a slide deck with a one-slide 'so what' at the end.

Prompt 5

THE RECURRING REPORT
Every Monday at 8am, pull last week's numbers from [connected tool], compare to the previous 4 weeks, and send me a one-page summary. Call out anything that moved more than 15% in either direction and give me your best guess as to why.

Prompt 6

THE MESSY-DATA CLEANUP
Take the attached spreadsheet. It's a mess. Standardise the columns, dedupe the rows, fix the date formats, flag anything that looks like a data-entry error, and give me back a clean .xlsx plus a short note on what you changed and why.

Availability and limits

Free and Go run Work on the desktop app only, and it is limited. Plus runs it on desktop, web and mobile, and can pick Astra as the engine. Pro runs it everywhere with expanded limits. Business and Enterprise run it everywhere with admin spend controls.

Work is usage-metered, not unlimited. It follows the same credit structure as Codex. A big task at high reasoning effort burns through allowance fast, and Astra burns more than Sol. Budget it. Do not point it at trivial jobs.

Scheduled Work is the real unlock. Work tasks can run once, on a schedule, on an event trigger (a Gmail arrival, a Slack message, a GitHub event), or as a monitor that watches for changes. That is the difference between a clever assistant and an employee. Set up three recurring Work tasks and you will feel it immediately. The Work browser can also now sign into websites you have accounts on, with your approval, which unlocks a whole category of jobs that used to stop at a login page.

What companies are actually doing with it

Zapier uses Work for lead triage across HubSpot, Gong and email. A lead used to take 35 to 45 minutes manually. Now it feeds a weekly exec dashboard.
NVIDIA uses it for GTC event prep, replacing a spreadsheet process that used to eat around 40% of the team's time. It now runs twice weekly.
Virgin Atlantic used it for competitor benchmarking for a 5-year plan. Weeks of work compressed into hours.
RingCentral uses it for launch-readiness checks across Jira and Salesforce. Scaled from supporting one PM to around 50.

The pattern in all four: a repetitive, cross-tool, context-gathering job that a smart human was doing badly because it was boring. That is the shape of a good Work task.

The Desktop App

The desktop app is one application for Chat, Work and Codex. If the app on your computer is called ChatGPT Classic, download the current app from chatgpt.com/download instead.

The desktop app is available on every plan, including Free, on macOS and Windows, with Linux in public preview. And it is meaningfully more capable than the website. For two years the web app was the full product and desktop was a convenience wrapper. That is over.

What only the desktop app can do

Built-in browser. A real browser inside ChatGPT. Multiple tabs, downloads, logins, saved passwords, cookies, Chrome profile import, live previews.
Computer Use. ChatGPT clicks, types and moves files around your actual machine. Runs in the background on macOS. On Windows it takes over the foreground during a task.
Local file access. Point it at a folder. "Analyse every file in here." The web app cannot do this.
Appshots (macOS and Windows). Press both Command keys to send the front window (screenshot plus text) straight into ChatGPT as context.
Record and Replay (macOS). Demonstrate a workflow once. It turns it into a reusable skill.
Record mode. Meeting transcription with speaker labels. Plus and above.
Three modes in one window. Chat, Work and Codex in the sidebar, plus Scheduled and Sites.
Work with apps. ChatGPT can read from your open apps and, in supported IDEs, edit code directly: it shows you a diff, you review, you apply.

Option + Space on Mac or Alt + Space on Windows summons ChatGPT from anywhere on your machine without switching apps. If you learn one shortcut from this guide, learn that one. It is the difference between using ChatGPT and living in it.

Remote: your phone as a remote control

Pair the mobile app with a Mac or Windows machine running the desktop app (QR code pairing). You can start tasks, check on running ones, browse workspace files, review diffs and approve actions from your phone while the heavy lifting happens on your desktop.

The Built-In Browser and Computer Use

ChatGPT comes with a browser built directly into the desktop app, plus a browser extension that runs in the sidebar of Chrome, Edge, Brave, Opera or Vivaldi.

Why the built-in browser matters more than it sounds

It supports multiple tabs, saved passwords, cookies, and importing your Chrome profile. Read that again. It means ChatGPT can operate inside the login-required SaaS tools that have no API and no plugin. All the tedious web-based admin work that lives in tools with no integration becomes automatable.

One creator's example: a podcast host who spent 45 minutes a day moving information between five tools, none of which had an API. Now a scheduled Work task.

Computer Use

This goes a step further. ChatGPT clicks, types and moves files across your local apps, tools and browser. On macOS it runs in the background, and can even continue approved work after your machine locks. On Windows it takes over the foreground while a task runs. It can be triggered as part of a scheduled task, and it got about twice as fast with the GPT-6 Astra release.

Prompt 7

A REAL COMPUTER USE TASK
Open the invoices folder. For each PDF, pull out the vendor, date, amount and invoice number. Put them into a new spreadsheet, one row each. Rename each PDF to YYYY-MM-DD_Vendor_Amount.pdf. Move anything older than 12 months into an Archive subfolder.

Agentic browsing is the single biggest new attack surface in AI. A malicious webpage can contain hidden instructions aimed at your agent. OpenAI runs an auto-review system where advanced models check important actions on connected tools before they execute, and sensitive actions (purchases, form submissions, account changes) require your approval.

Do not let an agent loose in a browser session that is logged into your bank, your payroll system or anything that moves money. The safeguards are good. They are not perfect, and neither is any competing product. Treat agent permissions like you would treat handing someone your unlocked laptop.

Deep Research

Deep Research is an autonomous research agent. Instead of answering from what it knows, it writes a research plan, browses dozens of sources, cross-references them, and produces a structured report with inline citations. Typically 3 to 10 minutes per query.

You ask. It plans and shows you the plan. It browses. It synthesises. You can interrupt it mid-run to add constraints, which is the feature most people never discover.

What makes the current version strong:

Plugin sources. Point deep research at your connected apps and internal data, not just the open web.
Trusted-site restriction. Restrict the search to specific domains you trust. Kills most of the slop problem.
Mid-run steering. Interrupt and refine while it is still working.

Prompt 8

A GOOD DEEP RESEARCH PROMPT
Research the top 10 project management tools for small teams as of 2026. For each: pricing, key features, integrations, and what real users complain about. Restrict sources to vendor sites, G2, and Reddit. Ignore affiliate blogs and listicles. Give me a comparison table and a single recommendation for a team of 5-10 with a budget under $20/user/month. Tell me what would make you change your recommendation.

That last line, "tell me what would make you change your recommendation," is worth adding to almost every research prompt. It forces the model to expose its own uncertainty instead of presenting a confident guess.

Deep Research also runs inside ChatGPT Work and Codex: type @Deep Research in a Work task and it pulls research into the job, metered against your Work allowance instead of the chat limit.

Free and Go get limited deep research. Plus gets expanded. Pro gets maximum. OpenAI does not publish exact per-plan numbers, so ignore any guide that quotes a specific figure. Check the usage counter in the product. For plans with a fixed monthly allowance, it resets 30 days from first use.

Voice: GPT-Live

GPT-Live is ChatGPT's voice mode, and it works differently from the voice assistants most people are used to.

GPT-Live is full-duplex: it listens and speaks at the same time. It backchannels ("mhmm", "right") while you talk. It waits when you pause mid-thought instead of jumping in. It ignores background noise. And when you ask it something hard, it hands the question off to a frontier model in the background while keeping the conversation going, so you do not sit in silence.

What you get:

Full-duplex conversation. Interrupting it finally feels natural.
Visual answer cards. Weather, stocks, sports, maps rendered on screen mid-conversation.
It picks the brain for you. When a question needs search or real reasoning, voice hands it to GPT-5.6 or GPT-6 Astra using the same model and effort controls you set for text, and keeps talking while it works.
Nine voices, all remastered.

Under Settings, then Voice, there are three options: Live (the default, running GPT-Live), Advanced (the earlier real-time mode, and the one you still need for camera and screen sharing on your phone), and Standard (you talk, it transcribes, it answers). Free gets a limited amount of GPT-Live-1 mini. Go gets three hours a day of GPT-Live-1 mini. Plus gets three hours a day of the full GPT-Live-1, Pro $100 gets fifteen hours, and Pro $200 is unlimited. One honest catch: Live does not do camera or screen sharing yet. For voice with video, switch to Advanced.

Two settings people miss: turn on auto-detect language in voice settings, and check which voice option you are actually on. Live and Advanced behave differently. Also switch on dictation so you can talk straight into the composer without starting a full voice session.

The best use of voice that nobody does: stop treating it as a novelty. Use it as a thinking partner while you walk. Talk through a problem for ten minutes with no structure, then finish with:

Prompt 9

THE WALK-AND-TALK CLOSER
Okay, I've been rambling. Take everything I just said and give me back: the actual decision I'm trying to make, the three options I circled around, what I clearly already want to do, and the thing I'm avoiding saying out loud.

Image Generation

ChatGPT Images 2.5 is the current image engine. It has native reasoning built in, it is fast, its multi-turn edits are precise enough that you can change one thing and keep everything else, and it has a selection tool for editing specific regions of an image instead of re-rolling the whole thing. There is a Templates gallery (Images, then Templates) for common formats, and on mobile you can draw a rough sketch (@ then Sketch) and have it turned into a finished image, or leave a comment on a generated image to direct the next edit.

What matters:

Region editing. Select an area of an image and change only that.
Aspect ratio control. Set it in the UI instead of begging in the prompt. All plans.
Image generation with Thinking. Searches the web while generating, batches up to 8 images, verifies its own output. Plus and Pro only.

Prompt 10

THE THUMBNAIL RECREATION
Here's a screenshot of a thumbnail whose style I like. Recreate that exact style, but the headline should read [YOUR TEXT] and replace the central image with the photo I've attached. Keep the colour grading and the text weight identical.

Prompt 11

THE INFOGRAPHIC
Turn the attached document into a single vertical infographic. 5 sections. Clean sans-serif type, lots of white space, one accent colour (#E8834A). No stock-photo people. No fake charts. Every number on the graphic must come from the document.

Prompt 12

THE PRODUCT SHOT FIX
Use the selection tool on the background only. Replace it with a soft neutral studio backdrop. Do not touch the product itself, the lighting on it, or its shadow.

Text inside generated images is still the weak spot. If the headline matters, generate the image without text and add the type yourself. Do not spend forty minutes re-rolling because it keeps spelling your brand name wrong.

Sites

Long-form writing and code do not need a separate editor. They open as editable blocks inside the chat: highlight a paragraph, ask for a change, only that paragraph changes, and the version history is right there. Sites goes one step further.

Sites lets you build and publish a real, hosted website or web app with a live URL and built-in analytics, straight out of a conversation. No deployment, no hosting setup, no code required. Plus and Pro only. Not on Free or Go.

Prompt 13

BUILD A SITE FROM A CONVERSATION
Build me a single-page site for [thing]. Sections: hero with one clear promise, 3 benefit blocks, social proof, FAQ, and one email capture form. Design: dark navy and gold, Helvetica, lots of white space, mobile-first. No stock photos, no gradients, no emoji. Publish it and give me the URL.

Sites plus a Work task is a genuinely strong combo: have Work research and write the content, then have it publish the result as a live page. Internal dashboards, one-pagers and client reports go from a document nobody opens to a link people actually click.

Codex

Codex is the autonomous coding agent. It writes, tests, debugs and ships code, handles multi-file and multi-repository projects, and keeps running until the task is done. It can run on GPT-6 Astra now, which was built with exactly this kind of long-horizon work in mind.

One number worth knowing: OpenAI says over ten million people use Codex and ChatGPT Work weekly, and about one in five Codex users is not a developer. That second stat tells you what it has actually become. It is a general-purpose task agent that happens to be very good at code.

Where Codex lives:

ChatGPT desktop app: Codex mode in the sidebar. The main way most people use it now.
ChatGPT web: cloud-based tasks.
Codex CLI: terminal.
Codex IDE extension: inline in VS Code and friends.
Codex cloud: long-running sandboxed tasks.
Integrations: GitHub, Slack, Linear. Plus an SDK and a GitHub Action.

If you are not a developer, read this bit. You do not need to write code to get value out of Codex. What you need is a task that is repetitive, file-based, and currently done by hand. Renaming and sorting a thousand files. Converting a folder of documents. Cleaning up a data export. Building a small internal tool. Codex will do all of that and you never see the code.

Prompt 14

CODEX FOR NON-CODERS
I have a folder of 400 client PDFs with inconsistent names. Build me a small tool that reads each one, pulls out the client name and date, renames the file properly, and sorts it into a folder by year. Show me it working on 5 files first. Don't touch the rest until I say go.

That last instruction, "show me it working on 5 files first, don't touch the rest until I say go," should be in every destructive task you ever give an agent. Test on a sample. Always.

Plugins

The naming here has changed twice, which is why everyone is confused. Connectors became Apps in December 2025. In July 2026, the App Directory became the Plugin Directory.

A plugin is a packaged workflow. It can bundle skills (reusable instructions), apps (the actual integrations and connections), and templates. There are well over a thousand of them, at chatgpt.com/plugins, and the library keeps growing: recent additions include Apple Messages on Mac, restaurant reservations through OpenTable, Resy and Yelp, and Zendesk.

What's connectable:

Files and docs: Google Drive, SharePoint, Box, Dropbox, Adobe Acrobat.
Comms: Gmail, Outlook, Slack, Microsoft Teams.
Calendar: Google Calendar, Outlook Calendar.
Work tracking: Jira and Atlassian, GitHub, GitLab, Azure Boards.
Data: Snowflake, Databricks, BigQuery.
Business: Salesforce, Stripe, Zendesk.
Custom: anything, via developer mode and the Apps SDK (built on MCP).

Type @ in the composer and name the app. ChatGPT will also auto-select plugins based on what you asked, and suggest them mid-conversation. The @ trick also works inside a scheduled task, which is how you build a real automation.

The setting that ruins this for most people: Settings, Personalization, Advanced, connector search. If it is off, ChatGPT will not proactively look in your Drive, Gmail or Slack to answer you. Half the people complaining that "ChatGPT can't see my files" simply never flipped this switch.

Interactive apps inside the chat

Separate from plugins, there are apps that render an actual interactive interface inside the conversation: Canva, Spotify, Figma, Zillow, Booking.com, Expedia, Coursera, DoorDash, Uber, Instacart, Target, Wix, Quizlet. Start the prompt with the app name ("Spotify, build me a playlist for a 3-hour drive") or use @. Availability varies by region, and some apps are not offered in the EEA, Switzerland or the UK.

Each plugin can be set to always ask, allow read actions, or allow low-risk actions. There is deliberately no "allow everything" button. That is a feature, not an oversight. Read actions are safe. Write actions are where things go wrong.

Skills

Skills are on every plan, still labelled beta on the consumer plans, and they are the most underrated feature in ChatGPT right now.

A skill is a reusable set of instructions. Think of it as a saved standard operating procedure that ChatGPT loads when it is relevant. Instead of re-explaining how you want your emails written, or how your reports should be structured, or what your brand rules are, you write it down once as a skill and it is applied every time.

You can build a skill in the chat, in the skills editor, or by uploading a document. All fine. But the best method is the one nobody talks about: let ChatGPT tell you which skills you need, based on how you already use it.

Prompt 15

THE SKILL AUDIT (RUN THIS TODAY)
Based on how I've interacted with you in the past, and everything in your memory about me, what skills should we create so you give me better answers with less explaining from me every time? Be specific. Name each skill, say what it would contain, and tell me how often it would actually get used.

Then follow up with:

Prompt 16

TURN IT INTO SKILLS
Good. Now write the actual prompts and instructions we need to create those skills. Full text, ready to paste.

Any time ChatGPT produces something you love, say: "Turn this into a skill I can reuse." That single sentence is how you stop rebuilding the same output every month.

Memory and Personalization

Memory was rebuilt in mid-2026 and is now considerably smarter. It updates itself: when something you told it becomes stale, it revises the memory instead of holding two contradictory facts. Plus and Pro get double the capacity.

You can see exactly which chats, memories and files ChatGPT drew on for any given response, and mark those sources as relevant or not relevant. This is a quiet but major feature. If ChatGPT keeps giving you answers coloured by an old project you have moved on from, you can find out why and fix it.

Settings that matter:

Reference saved memories: on. This is the core of it.
Reference chat history: on. Lets it draw on past conversations, not just explicit memories.
Memory sources. Tap the book icon under any answer to see and correct what it drew on.
Temporary Chat. For anything you do not want remembered.

The most important strategic point in this guide: models change every three months. Your memory and context layer does not. Whoever wins the next benchmark is irrelevant to you if ChatGPT knows your business, your voice, your customers and your standards. Invest in the memory layer, not in model loyalty. The version of that I actually run is a folder of plain text files that works in ChatGPT or Claude, in my file system setup guide. That is the asset that compounds.

Prompt 17

SEED YOUR MEMORY DELIBERATELY
Remember the following, permanently:
# MY BUSINESS
[what you sell, to whom, at what price]
# MY VOICE
[3 rules about how you write]
# MY STANDARDS
[what a good output looks like to you, and what an unacceptable one looks like]
# WHAT I'M WORKING ON THIS QUARTER
[2-3 goals]

Library

Library is where your generated images and your files live, independent of any single chat (deleting a chat does not delete a file saved to Library). You can browse Google Drive, Box, Dropbox and SharePoint straight from it on paid plans, and share a file or a folder with named people as a Viewer or an Editor, or with your whole workspace. Shared items show up for them under Shared with me.

Projects

Projects are folders with a brain. Each project holds its own chats, its own uploaded files, and its own custom instructions. Everything inside inherits that context. They are on every plan, including Free, and there are shared projects too, so a team can work in the same context.

How to set one up so it is actually useful:

Create the project and name it after an outcome. Not "Marketing." Try "Q3 launch, target 5,000 signups."
Upload the context files, not everything. Brand guidelines, past examples of good work, the strategy doc, key data. Resist the urge to dump your entire Drive in. Context is a budget, and junk files spend it.
Write project instructions. This is the step everyone skips, and it is the one that makes it work.

Prompt 18

PROJECT INSTRUCTIONS TEMPLATE
# WHAT THIS PROJECT IS
[one sentence]
# THE GOAL
[what success looks like, with a number]
# THE FILES IN HERE
[what each one is and when to use it]
# HOW TO WORK IN THIS PROJECT
Always check the brand doc before writing anything public-facing. Never invent a statistic. If you're not sure, say so. Default to short.

One project per outcome, not per topic. A project that runs for six months slowly fills with dead context. When the outcome is achieved, archive it and start a fresh one. Projects are cheap. Confusion is not.

Scheduled Tasks

Scheduled tasks are how ChatGPT stops being something you visit and starts being something that shows up. They are on every plan now (Free gets up to 3 active tasks, once a day each), and there is a Scheduled hub in the sidebar.

Four kinds of schedule:

Once: "Tomorrow at 7am, remind me to send the invoice and draft it for me."
Recurring: "Every Monday at 8am, give me last week's numbers with commentary."
Event-triggered (paid plans): "When a new message lands in #launches, update the launch doc." Triggers can come from Gmail, Slack or GitHub.
Monitor: "Watch this page. Tell me if the pricing changes."

Do not sit and try to think of automations. Ask it what you already do repeatedly:

Prompt 19

THE AUTOMATION AUDIT
Based on your memory of me and the things I ask you over and over, give me a list of tasks I should schedule so you can just do them automatically. Be as granular as possible. For each one: the exact prompt, the cadence, and which apps it needs. Rank them by how much time they'd save me per month.

Inside a scheduled task, type @ to pull in a plugin. That is the difference between a scheduled reminder and a scheduled action.

Scheduled tasks have real limits: roughly one run per hour maximum, plain-text prompts only, and no voice or file uploads inside the task itself. Build accordingly.

Data Analysis and the Office Extensions

Upload a CSV or spreadsheet and ChatGPT will write and run code to analyse it, then hand you back charts and findings. That has been true for a while. What is newer is that it plugs directly into the tools you already use.

ChatGPT has extensions for Excel, PowerPoint and Google Sheets. Limited on Free and Go, full on Plus, expanded on Pro. It can open and refine Google Workspace and Microsoft 365 files directly. This closes the most annoying gap in the product: output that lived in a chat window instead of in the file you actually work in.

Plus and Pro get interactive tables and charts in the response itself, so you can sort and explore rather than staring at a static image.

Prompt 20

THE ANALYSIS PROMPT THAT AVOIDS GARBAGE
Here's the data. Before you analyse anything:
1. Tell me what's wrong with this dataset. Missing values, duplicates, weird outliers, columns that don't mean what they're named.
2. Tell me what questions this data CAN'T answer, so I don't ask them.
Then, and only then, answer this: [Q]. Show your working. If a finding is based on fewer than 30 rows, say so explicitly.

Asking what the data cannot tell you, before you ask it anything, is the single best defence against a confident, beautifully-formatted, completely wrong analysis.

ChatGPT will happily find a pattern in noise and present it with total confidence. It does not know your business context. Every number it gives you that you plan to act on, check.

ChatGPT for Business and Enterprise

Business is $20 per user per month billed annually, or $25 monthly, with a two-seat minimum and a 200-seat cap, plus the $125 Premium seat tier ($100 annual) for heavy users. Enterprise is custom priced. Both guarantee that your content is not used to train OpenAI's models.

Company knowledge: the actual reason to buy Business

Company knowledge lets ChatGPT search across your connected apps (Slack, Google Drive, SharePoint, GitHub, Jira and so on) and answer with citations and links back to the source. It respects existing permissions, so people only ever see what they already had access to. Turn it on per chat from the composer, then choose which apps to include.

Company knowledge works on ChatGPT Web. Not on desktop. Not on mobile. This is the single most common thing people get wrong about Business, and it is the kind of detail that makes a rollout look broken when it is not.

Workspace agents

Workspace agents are shared, Codex-powered agents. OpenAI describes them as the evolution of Custom GPTs, and that is accurate. They run in the cloud, they have memory, they can write and run code, use your connected apps, run on a schedule, and be deployed straight into Slack.

You build one by describing the workflow in the sidebar. There are templates for finance, sales and marketing. Real examples from OpenAI's own customers: a lead outreach agent, a product feedback router, a weekly metrics reporter, a third-party risk manager, and a month-end close agent that produces accounting workpapers.

Currently a research preview on Business, Enterprise, Edu and Teachers. Not available on any consumer plan.

Business vs Enterprise: what you do and do not get

Both plans include SAML SSO, admin console, SOC 2 Type 2, company knowledge, workspace agents, and no training on your data.

Enterprise adds SCIM provisioning, IP allowlisting, an analytics dashboard, compliance API logs, data residency across ten regions (US, EU, UK, JP, CA, KR, SG, IN, AU, UAE), ISO certifications, and enterprise key management.

A lot of blogs get this wrong and tell you Business includes SCIM and data residency. It does not. If your security team needs any of the Enterprise-only rows above, you need Enterprise.

ChatGPT Work and Codex are usage-metered. Enterprise and Edu admins can set workspace defaults, per-group limits and individual overrides in the Admin Console, with a request-more-credits flow. If you are rolling this out to a team, set the controls before you announce the feature, not after.

The highest-ROI first deployment for most teams is not a fancy agent. It is turning on company knowledge and letting people ask "where is the doc about X" and get a real answer with a link. Do the boring thing first.

Settings, Privacy and Safety

The settings worth changing today

Custom instructions (Personalization). The highest-leverage five minutes in the product.
Web search and connector search (Personalization, Advanced). Off by default for many. This is why it "can't see" your files.
Automatic reasoning switching (Model picker, Configure). Free extra intelligence. Doesn't count against your allowance.
Memory sources (Memory). See and correct what it's drawing on.
Ad controls (Advertising). Free and Go only. Includes the ad-free option.
Data controls (Data controls). Opt out of training on your content.
Temporary Chat (Composer). No memory, no history.

Privacy, plainly

On Free, Go, Plus and Pro, your content can be used to train OpenAI's models, and there is an opt-out. On Business, Enterprise and Edu, it is not used for training, full stop. That difference is worth more than any feature on the Business plan for a lot of companies.

Data is encrypted in transit (TLS 1.2) and at rest (AES-256). Enterprise adds data residency across ten regions.

Parental controls and age prediction

ChatGPT predicts whether an account belongs to someone under 18 and defaults to restrictive settings when it is unsure. Parents can link a teen's account by email invite, disable memory and history, and receive alerts in cases of acute distress. Parents do not get access to the conversations themselves. Ads are never shown to under-18 accounts.

The genuine risk in 2026 is not the model saying something silly. It is prompt injection: a webpage or document containing hidden instructions aimed at an agent that has access to your accounts. Be deliberate about what you connect and what write permissions you grant. Read-only is safe. Write is where the damage happens.

Prompting for the Reasoning Era

Everything you learned about prompting in 2023 is now actively hurting you. The long, elaborate, role-play-heavy, step-by-step-scaffolded prompt was a workaround for a model that could not think. Today's models can think. Stop doing their thinking for them.

OpenAI's own guidance is that short outcome-focused prompts beat step-stacked ones.

The old way (stop doing this):

Prompt 21

You are a world-class expert marketing strategist with 20 years of experience. Take a deep breath and think step by step. First, analyse the market. Then identify the segments. Then consider the competitors. Then think about positioning. Then, and only then, write the plan...

The new way (do this):

Prompt 22

Market analysis for a sustainable hiking gear brand.
I need:
- Top 3 customer segments, ranked
- Top 3 competitors and each one's real weakness
- A market size estimate with your working
Tell me what you're least confident about.

Six rules that hold up in 2026:

State the outcome, not the method. The model plans better than your scaffold does.
Plan in one chat, execute in another. Long chats degrade. Get the plan, then open a fresh chat and say "implement step one."
Ask for its uncertainty. "Tell me what would change your answer" surfaces the weak link.
Give it your standards, not just your task. Show it one example of good and one of bad. Worth more than 500 words of description.
Don't max the effort by default. High reasoning on a simple task produces a worse answer, slower.
Kill the chat when it gets dumb. It's not broken. The context window is full of your own conversation. Start fresh.

The "plan in one chat, execute in another" rule is the one that separates people who get great output from people who get mush. Reasoning models degrade over a long session. Treat the plan as an artefact you carry to a clean room.

25 Power Tips

The things that actually move the needle, roughly in order of how much time they will save you.

Turn on connector search. Settings, Personalization, Advanced. Off by default. This is the number one reason people think ChatGPT cannot see their Drive or Gmail.
Turn on automatic reasoning switching. Model picker, Configure. Auto-switches do not count against your manual reasoning allowance. Free intelligence.
Stop maxing out the reasoning level. On a simple task, high effort makes the answer worse, not better. It overthinks and invents problems.
Ask it which model to use. Paste your prompt into a normal chat and ask which reasoning level to run it at. Then go run it there.
Learn Option + Space (or Alt + Space on Windows). Summons ChatGPT from any app on your desktop. The single highest-frequency shortcut in the product.
Use the desktop app, not the website. Only the desktop app gets local file access, the built-in browser, Computer Use, Appshots and Record and Replay.
Run the skill audit. "Based on how I've interacted with you, what skills should we create?" It knows your patterns better than you do.
Run the automation audit. Same trick for scheduled tasks. Ask it what you keep asking it, then schedule those.
Type @ inside a scheduled task. That pulls a plugin into the automation. It is the difference between a reminder and an action.
Plan in one chat, execute in another. Reasoning models degrade in long sessions. Carry the plan to a clean chat.
Branch, don't restart. Three-dot menu on any response, branch into a new chat. Forks the conversation without polluting the original.
Use the one-click retry options. Three-dot menu lets you retry more concisely or with web search, no re-prompting needed.
Point Work at a folder. "Analyse every file in this folder." Desktop only. Genuinely feels like magic the first time.
Test destructive tasks on 5 items first. "Show me it working on 5 files, don't touch the rest until I say go." Every single time.
Restrict deep research to trusted sites. Kills the affiliate-blog slop problem entirely.
Interrupt deep research mid-run. You can steer it while it works. Almost nobody knows this.
Add "tell me what would change your answer." Forces it to expose uncertainty instead of guessing confidently.
Ask what the data can't tell you. Before any analysis. Best defence against a beautiful, confident, wrong chart.
Seed your memory deliberately. Do not wait for it to learn you. Tell it who you are, what good looks like, and what you are working on.
Check your memory sources. You can see exactly which chats and files it drew on, and mark them not relevant.
Free plan users, get ad-free. Settings, Ads controls. Trades message limits for zero ads.
Use Temporary Chat for anything sensitive. No memory, no history.
Voice-and-walk, then ask it to summarise your own rambling. "What decision am I actually trying to make, and what am I avoiding saying?"
Turn a great output into a skill immediately. "Turn this into a skill I can reuse." One sentence, permanent leverage.
Invest in the memory layer, not the model. Models change every 90 days. Your context does not. That is the asset that compounds.

The 90-Day Reality Check

A guide that only tells you how good something is, is an advert. So here is the honest part.

What ChatGPT is genuinely best at right now:

Agentic work. Nothing else touches the desktop app's combination of a real browser, local file access and Computer Use, and GPT-6 Astra just widened that lead.
Research at depth, with citations.
Coding, via Codex.
Voice. GPT-Live is not close to anything else.
Being the default everyone already has, with the biggest plugin library by a distance.

Where it is still weak:

Long-form writing with genuine voice. It still writes a bit academically. Claude is generally better here and it is not particularly close.
Text inside generated images.
No video generation.
Naming and menus. Features get renamed and moved often, and things you rely on can get cut.

One well-regarded AI YouTuber called ChatGPT Work "Codex with the scary word removed," and argued that on the web it is largely a repackaging of things that already existed. He has a point. If you are technical and you were already using Codex, Work is a rebrand with better defaults.

But that is exactly why it matters. Codex was sitting there the whole time and normal people would not touch it, because it looked like a developer tool. Removing the scary word is not nothing. It is the difference between a capability existing and a capability being used.

Your first week

Day 1: Custom instructions, and turn on connector search.
Day 2: Install the desktop app. Learn Option + Space.
Day 3: Run the skill audit and the automation audit.
Day 4: Set up your three most valuable scheduled tasks.
Day 5: Give ChatGPT Work one real, ugly, cross-tool job you have been putting off.
Days 6 and 7: Seed your memory properly. That is the part that compounds.

Everything in this guide was accurate on September 7, 2026. Given how fast OpenAI ships and cuts, assume something in here will be wrong within a quarter. When it is, the principles above will still hold. The features are rented. The habits are owned.

Download the full PDF below to keep it on hand as ChatGPT keeps changing.