Free Tool · 2 Minutes

Build your best AI stack

Ten quick questions about your actual job. Out comes a short, sensible AI stack – the tools worth your time, whether the free tier will do, and which model to reach for when the work matters.

Almost everyone we train arrives with the same setup: one AI tool, found by accident, used for everything. It works – right up to the moment you realise you have been flying with one wing. The fix is not more tools. It is a stack: three or four tools with a clear job each, and a habit of reaching for the right one.

The quick answer

A good AI stack in 2026 has four or five layers, not fifteen tools: a daily driver (ChatGPT, Claude, Gemini or Microsoft Copilot), a research engine that shows its sources (Perplexity or NotebookLM), a meeting scribe (Fathom, Fireflies or Otter), and a visuals or media tool (Canva Magic Studio, Descript or ElevenLabs) if you publish anything.

Which daily driver is right for you comes down to three things: whether your day happens in Microsoft 365 or Google Workspace, what ‘great work’ means in your role, and whether you touch confidential data. The tool below asks those questions and picks for you in under two minutes.

Why most AI stacks are wrong

There are only two ways to get this wrong, and nearly everybody manages one of them.

One wing. You signed up for the tool a colleague mentioned, and now every job goes through that one chat box – including the jobs it is worst at. Asking a general assistant for cited research, or pasting a client’s financials into a free consumer tier, is not a tool problem. It is a stack problem.

Tool hoarding. The opposite failure, and the more expensive one. Eleven tabs open, four subscriptions, a Chrome extension you cannot remember installing, and no single tool used well enough to save an hour. Collecting tools feels like progress. It is the reason so many people conclude that AI is more effort than it saves.

A short stack you actually use beats a long list you feel guilty about.

The five layers of a good AI stack

Every stack worth having answers five questions about your week: who drafts, who researches, who takes notes, who makes things look good, and who sits inside the software you already live in. Most people need three of these. Nobody needs fifteen.

The layers of a practical AI stack, and who they suit
LayerIts jobTypical picksFree tier enough?
Daily driverDrafting, thinking, summarising, the first pass at almost everything.ChatGPT, Claude, Gemini, Microsoft CopilotYes to start. Pay when the work matters or limits bite.
Research engineAnswers with sources you can check, and reading through your own documents.Perplexity, NotebookLMUsually yes – NotebookLM is free outright.
Meeting scribeRecording, transcribing and writing up notes and actions for you.Fathom, Fireflies, OtterYes for most people.
Visuals & mediaGraphics, decks, video and audio that look and sound professional.Canva Magic Studio, Descript, ElevenLabsFree is fine until you publish regularly.
Ecosystem assistantAI inside the apps your work already lives in, with your files in reach.Microsoft Copilot, Gemini in WorkspacePaid, and worth it if your whole team is in one suite.

Notice what is not on the list: anything you would have to remember to open. The best stack is the one that sits in the path of work you are already doing.

The tool

Ten questions, no sign-up, nothing to install. Your answers stay in your browser.

The Oxford AI School crest A 2 minute diagnostic

Build your own AI stack

Most people pick the first AI tool they come across and learn as they go. It works, until you realise you have been flying with one wing.

Answer ten quick questions about your actual job. We will hand you a short, sensible list of the tools worth your time, whether the free version does the job, and which model to use for which task.

10 questions Under 2 minutes No jargon

Nothing to install. Nothing leaves this page until you choose to share it.

How the diagnostic decides

There is no magic in it, and deliberately no AI model behind it – just the same ten questions we ask in the first twenty minutes of a training session, and the logic we use to answer them. It weighs:

  • Your role and team size – a founder of three and a manager in a 200-person firm need different tiers and different data rules.
  • Your function – marketing, sales, operations, finance, people, product, professional services, education or creative work each pull in a different second tool.
  • What actually eats your week, and what you repeat every single day – the dull, repeatable jobs are where AI pays for itself first.
  • What you have to produce – emails, reports, decks, spreadsheets, proposals, posts, notes, designs or video.
  • Where your day happens – Microsoft 365, Google Workspace, or neither.
  • What ‘great’ looks like in your role – speed, accuracy, insight, persuasion or originality. This is what picks the model, not just the tool.
  • Who your work is for – internal colleagues, clients, a board, or the public. The higher the stakes, the stronger the model.
  • Whether you handle confidential or regulated data – which changes what is safe to use at all.

Out the other end comes a core stack of three or four tools with a role and a realistic cost against each, a cheat sheet for which model to use for which task, and three things to do this week. You can copy it, share it, or save it as a one-page PDF.

Free, paid or business tier?

Free tiers in 2026 are genuinely good. Start there, always. Then upgrade when one of these three things is true – not before:

  1. The work matters. The strongest reasoning models sit behind the paid tier, and the difference shows up exactly where it counts: the board paper, the proposal, the analysis someone will push back on.
  2. You are hitting limits every week. If you are rationing your own usage, roughly £20 a month is the cheapest hour you will ever buy back.
  3. You handle confidential data. This one is not about capability, it is about safety – see below.

If you handle confidential data, read this first

Do not paste client, financial, health, legal or personal data into a free consumer AI tool. Free tiers can use what you type to train future models, and once it is in, it is not coming back out. Use a paid Team, Business or Enterprise plan with a data-processing agreement and model training switched off, or whichever tools your organisation has already approved. The tool above flags this for you and adjusts its recommendations to a data-safe tier if you say your work is sensitive.

Then master one tool before you add the next

This is the part people skip, so it is worth saying plainly. Take the dullest repeatable job in your week and do it with your daily driver every day for a week. Use the strong model for one thing that genuinely matters. Only when the first tool is a habit should you add the second. That order – depth first, breadth later – is the whole difference between a stack that saves you a day a week and a folder of bookmarks.

It is also, more or less, what we teach. Our AI training programmes start exactly here: your job, your week, your tools, in plain English.

Frequently asked questions

What is an AI stack?

An AI stack is the small set of AI tools you actually use, with a clear job for each. A typical one has four or five layers rather than fifteen tools: a daily driver assistant, a research engine that shows its sources, a meeting scribe, and a visuals or media tool if you publish anything.

How many AI tools do I actually need?

Three or four for most people, and almost never more than five. One assistant you use every day does the bulk of the work. Add the second only once the first is a habit.

Which AI tool should I use for work?

It depends on where your day already happens, what great work looks like in your role, and whether you handle confidential data. Microsoft 365 users get most from Copilot; Google Workspace users from Gemini; if you are tool-agnostic, Claude suits careful writing and long documents while ChatGPT is the broadest all-rounder. The tool above asks and picks.

Is ChatGPT, Claude, Gemini or Microsoft Copilot best?

There is no single winner, which is why the argument never ends. They are close on capability and differ on fit: Copilot for proximity to your Office files, Gemini inside Workspace and on very large documents, Claude for long-form writing and nuance, ChatGPT as the broadest generalist. Pick on fit, then learn that one properly.

Do I need to pay, or is the free version enough?

Free is the right place to start and fine for everyday drafting and summarising. Pay when you need the strongest reasoning models for work that matters, when you hit limits weekly, or when you handle confidential data and need a plan where your inputs are not used for training.

Is it safe to use AI with client or confidential data?

Not on a free consumer tier. Use a paid Team, Business or Enterprise plan with a data-processing agreement and training switched off, or your organisation’s approved tools. Never paste real personal data into a tool that has not been approved for it.

Which AI model should I use for which task?

Use the fast default model for quick drafts, replies and tidying up. Switch to the strongest reasoning model for anything that matters. Use deep research mode when you need sourced, cited evidence rather than a confident-sounding answer. The tool above builds this cheat sheet for whichever assistant it recommends.

How long does it take, and is it free?

Under two minutes, ten questions, completely free, no sign-up to see your results. Copy your stack, share it, or save it as a one-page PDF at the end.

Harry Lang, director and trainer at The Oxford AI School

The Oxford AI School helps business owners, teams and individuals across Oxfordshire learn to use AI tools in a way that’s practical, fun, easy and relevant. Built by Harry Lang, marketer of 25 years and reformed tool hoarder.

Got your stack? The next step is using it properly. Explore our AI training for business, see programmes and pricing, or book a free 10-minute intro call and we will sanity-check your stack with you.

Start learning

Fewer tools. Used properly.

Book a free 10-minute intro call to talk through practical, no-nonsense AI training for you or your team.