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Start here · for anyone who has never used one

ChatGPT. Claude. Gemini. LLMs. AI agents. One thing.

You have heard some of those words. Nobody has told you the words all point at one thing.

Behind every one of those words sits one engine: near enough everything people have ever written down, made askable. Not a library you search — an engine that has read the lot, and answers you in your own words, about your own situation.

By Pawan Nayar · Day 0 of a 26-lesson course, free and without sign-up · every figure on this page names its source and the date a person last checked it

Your first job for an LLM should be a small one

There is a letter from the council somewhere in your house. You opened it once, understood about half of it, put it down, and it is still sitting there.

Type the whole thing in. Then ask one question: what does this actually want from me, and by when?

Not a demo, and not a clever test of the machine. One real thing off your own list, tonight.

Try this: find the one piece of paper you have been avoiding, and start there.

Why search cannot help with your letter

Search that letter and you get forty pages about somebody else's council, in a different year, under different rules. Google is very good at finding a page that already exists. Your letter is not on it.

An LLM does not go looking. You get a new answer instead, written one word at a time, from patterns across an enormous amount of text.

One difference explains nearly everything else you will meet. An LLM can answer a question nobody has ever written down — and an LLM can be completely wrong while sounding completely sure.

Try this: ask it about something that exists nowhere on the internet — your own week.

Why does it never say I don't know?

Watch how your answer actually gets built:

  1. The model has the words written so far.
  2. The model picks the word that usually comes next.
  3. The model adds the word, and starts again.

Three steps, and nothing more. Now notice what is missing: nowhere does the model stop and weigh whether it actually knows. There is no point in the process where doubt could get in.

So a book title that was never written comes out exactly the way a real one does — same fluency, same steadiness, same tone. The confidence you are reading is not a claim about being right. The confidence is only how your sentence got made.

Which is why the fix is never to ask it to sound less sure. The fix is that you check.

Try this: ask for three books on something you care about, then open one of them.

Where you actually meet one

LLM stands for large language model. Large because it has read an enormous amount; language because words are the only material it deals in.

A chat windowYou type, it answers. Most people mean a chat window when they say AI. A tab open in your browser, a lot like email. You paste the letter in and read what comes back. Getting an answer about your own situation→
A coding toolThe same engine, with permission to open and change files on your computer. Not a chat any more. You describe a change and it edits the actual file, the way a colleague with your password could. What this looks like for developers→
An agentThe same engine again, sent off to finish a job with nobody watching. You hand over a whole task rather than a question, and it works through the steps while you are elsewhere. Deciding what to hand over→
Your phone, quietlyThe same engine again, inside apps you already use, usually unlabelled. The suggested reply, the photo search that understands "the one at the beach", the summary at the top of your inbox. Where the software actually lives→

Same engine every time. Only the reach changes — and the reach decides what you can hand over, and what you must not.

Try this: name one AI you have already used this week without calling it that.

Who turns up when you ask a vague question?

Back to the letter. Here it is asked two ways, and the gap between them is the most useful thing on this page.

The same letter, handed over twice
What you typeWhat comes back
“What does this letter mean?” A careful paragraph about council correspondence in general. Every word of it true. None of it about you.
“I rent, this is the third letter, I have fourteen days, and I cannot afford the fee they are asking for.” The deadline that actually matters, what happens if you miss it, and the one sentence you should write back.

A vague question summons the average of a million voices — the safe, flat paragraph that fits everybody and helps nobody. A question carrying your own situation brings the specialists forward.

A question is not a command. A question decides who turns up.

Try this: take your last ask, add three facts about your own situation, and send it again.

What are people actually using it for?

Around 1.5 million conversations were studied, and the shape of them is not what most people expect. Messages with nothing to do with a job grew from about half of everything to more than seven in ten.

And three things account for nearly eighty per cent of the lot: asking for practical guidance, finding something out, and writing something.

Our read — if you assumed an AI assistant was a tool for programmers and office work, that is what to unlearn first. Understanding a bill, drafting a message you keep putting off, planning a trip, learning a subject you never studied. Most AI use lives in those four places.

Primary research · How People Use ChatGPT, NBER Working Paper 34255, September 2025 · roughly 1.5 million conversations, classified automatically · nobody stands to gain from these figures being believed · checked by a person on 10 August 2026
Try this: think of one thing this week that was not work at all, and hand it over.

Four things it gets wrong

You ask for three sources. All three look right. One of them does not exist.

Invented factsNames, quotes, references and figures that look real and are not. Ask for three books on a subject. The titles are plausible, the authors are real people, and one of the books has never been written. How to check an answer→
No sense of todayIt knows nothing of this morning unless you say so. It cannot know the deadline moved, that you already sent the email, or what the rules changed to last month. You have to tell it. Giving it your situation→
Agrees too easilyPush back with nonsense and it will often fold. Tell it confidently that it is wrong when it is not, and watch it apologise and change its answer. Agreement is not evidence. Judging an answer→
Cannot decideIt has no stake in your life. The judgement stays yours. It will lay out both options beautifully. It will not be the one living with your choice next year. Choosing what to hand over→

None of this makes an LLM useless to you. Checking becomes part of your job.

Try this: push back with something you know is wrong, and watch how fast it folds.

What should never be pasted in?

If you would not put it on a postcard to a stranger, do not paste it in.

Which in practice covers:

  • somebody else's personal details
  • medical or bank information
  • anything at work marked confidential
  • a client's data
  • passwords, of course

Our read — almost nobody pastes confidential material on purpose. The leak happens because the document needing help happened to carry a name, a number or a contract inside it. Which is why the rule is about the material, and never about your intentions.

Try this: before your next paste, read it once as if it were going to a stranger.

Who makes these three, and where do you get them?

You have been reading three names for the whole of this page. Here is who makes them and where they actually live — because "which one, and how do I get it" is a fair question and almost nobody answers it.

The three you keep hearing about
ProductMade byWorth knowingOpen it
ChatGPTOpenAI The one most people have heard of, and the one your colleagues most likely mean when they say they used AI. chatgpt.com↗
ClaudeAnthropic Strong on long documents and careful writing. This course is written by somebody who uses it, which you are entitled to know. claude.ai↗
GeminiGoogle The one already sitting inside things you use — search, Android, Gmail — often without announcing itself. gemini.google.com↗

All three run in an ordinary browser tab, and all three have a phone app. There is nothing to install before you begin. You make an account, and you are in.

All three have a free tier, and every free tier is enough to find out whether this is useful to you. A preference will arrive on its own after a few weeks. Choosing between them is not an evening to spend before using any of them.

Try this: open the one nearest to what you already use, and sign in. Nothing else yet.

Do not ask it a question. Give it your own material

I want to get better at using AI, and I am starting from nothing. Here is my situation: (say what you do, and one thing that eats your time each week.) Ask me four questions that would help you help me. Then wait for my answers before advising anything.

Paste it into any of the three. Notice the questions coming back — questions are the difference between a search box and an assistant you work with.

And notice what you did to that letter, three times over. First you handed it across. Then you told it who you were. Now you have made it interview you before it advises anything at all.

Try this: answer its four questions properly. The second answer is where it gets good.


Which of these would you actually paste in?

Answer honestly before reading on. Nothing is recorded, and nothing leaves your browser.

📊One question
You want help rewriting a difficult email to a customer. Which version do you paste?
The whole email, exactly as it sits in your outbox
The email with the customer’s name and account number taken out
A description of the situation, and none of the email itself
Nothing — this is work material, so an AI should never see it
Try this: open your own sent folder and find one email you would have pasted without thinking.

Ten words worth knowing

Prompt

What it means
Whatever you type into the box. Not a command — a description of what you want and what you are working with.
Why it matters
Nearly every disappointing answer traces back to a thin prompt rather than a weak model.
Example
“Rewrite this so it stays firm but stops sounding angry” is a prompt.
Key question
What did you leave out that the other person could not have guessed?

Context

What it means
Everything handed over alongside the question: the document, your situation, the deadline, who it is for.
Why it matters
Context is the difference between the flat paragraph and the answer that fits your Tuesday.
Example
“I rent, third letter, fourteen days” is context. “What does this mean” has none.
Key question
Could a stranger answer your question with what you gave them?

Hallucination

What it means
A confident answer that is flatly untrue — an invented book, a quote nobody said, a figure with no source.
Why it matters
A made-up reference looks completely normal until somebody opens it.
Example
Three plausible book titles, real authors, and one book that has never been written.
Key question
Which single claim here would hurt most if it turned out to be false?

Model

What it means
The engine itself, underneath whichever product you happen to be using.
Why it matters
ChatGPT, Claude and Gemini are products. The model is what actually writes.
Example
Opening Claude and opening ChatGPT means meeting two different models through two different apps.
Key question
Are you comparing two products, or the same one on a different day?

Token

What it means
The small pieces of text a model works in — roughly a short word, or part of a long one.
Why it matters
Length limits and paid usage are counted in tokens, never in pages.
Example
“Unbelievable” is several tokens. “The” is one.
Key question
Why would a long document cost more than a long question?

Context window

What it means
How much text a model holds in mind at once, including everything already said in the conversation.
Why it matters
Past the limit, the earliest part of your conversation quietly drops away.
Example
A long chat that starts forgetting your first instruction has run out of window.
Key question
Is it ignoring you, or can it no longer see that far back?

System prompt

What it means
Standing instructions that sit above the conversation and shape every answer inside it.
Why it matters
Saying once how you want to be answered beats repeating yourself every message.
Example
“Always ask me a question before advising” set once, and it holds.
Key question
What do you find yourself typing over and over?

Agent

What it means
The same engine sent to complete a whole task on its own, rather than answer one question.
Why it matters
Nobody checks each step, so what you hand over matters far more.
Example
“Book the cheapest flight and email me the receipt” rather than “what flights exist”.
Key question
Would you be comfortable if this ran while you were asleep?

Free tier

What it means
The version you can use without paying, on every one of the three.
Why it matters
Enough to find out whether any of this is useful to you, which is the only question that matters first.
Example
Signing in and running today’s task without entering a card.
Key question
What would need to be true before you paid for one?

Version

What it means
The numbered release of a model. They change often, and each behaves a little differently.
Why it matters
Advice written a year ago may describe something that no longer behaves that way.
Example
A prompt that worked beautifully last spring giving a flatter answer today.
Key question
When was the guidance you are following actually written?

The questions people actually ask

Every answer reads on its own, lifted clean off the page.

What is a large language model, in plain words, for somebody who has never used one?
ConceptualWhatcomplexity 1

A large language model writes an answer one word at a time, each next word chosen from what usually follows it across an enormous amount of written text. A search engine finds a page somebody already wrote. A large language model writes something new for you instead — which is why you can get help with a situation nobody has ever written about, and why you can be handed a completely wrong answer that sounds completely certain.

Why does ChatGPT invent books, quotes and sources that turn out not to exist?
ConceptualWhycomplexity 2

A model builds a sentence forward, one likely word after another, and there is no step in that process where doubt can enter. A book title that was never written comes out with exactly the same fluency as a real one. Ask for three references and open one yourself, because a made-up reference looks entirely normal until you check.

What should never be typed or pasted into a public AI assistant like ChatGPT or Gemini?
How-ToWhatcomplexity 1

If it would not go on a postcard to a stranger, it should not be pasted in. Which covers somebody else’s personal details, medical or bank information, anything at work marked confidential, a client’s data, and passwords. Most leaks are accidental — your document needed help, and happened to carry a name or an account number inside.

Who makes ChatGPT, Claude and Gemini, and does trying any of them cost money?
FactualWhocomplexity 1

ChatGPT is made by OpenAI, Claude by Anthropic, and Gemini by Google. All three run in an ordinary web browser and all three have a phone app, so there is nothing to install. Each has a free tier that is enough to find out whether the thing is useful, which means nobody needs to pay before starting.

Does a complete beginner need to choose between ChatGPT, Claude and Gemini before starting?
How-ToDoescomplexity 1

No. The three differ, but not in ways a beginner can judge from the outside, and a preference tends to arrive on its own after a few weeks of real use. Open whichever one sits nearest the tools you already use. A far better first step than spending your evening comparing them.

Why does an AI assistant give flat, generic answers that do not fit the actual situation?
ConceptualWhycomplexity 2

A vague question summons the average of everything ever written on the subject, which is the safe paragraph that fits everybody and helps nobody. Add who you are, what you have already tried, and what your constraint is, and your answer changes completely. A question is not a command — your question decides which kind of expertise turns up.

Is it safe to paste a work document into ChatGPT if the company has not banned it?
ScenarioIscomplexity 3

The absence of a ban is not permission, and most organisations have a policy somewhere even when nobody has mentioned it. Your safer habit is to describe the situation rather than paste the document, or to strip names, account numbers and client references first. Anything marked confidential should not go in at all.

Why does an AI agree with a correction even when the original answer was right?
ConceptualWhycomplexity 2

Models are shaped to be agreeable, and confident pushback often reads to them as new information rather than as a challenge worth testing. Tell one firmly that you think you are right, and you will frequently get an apology and a changed answer, whether or not the change is correct. Agreement is never evidence — ask to see the reasoning instead.

Can an AI assistant know what happened this morning, or what changed last month?
ConceptualCancomplexity 2

Not unless it is told, or unless the product it sits behind can search the web on your behalf. A model is built from text gathered up to a certain date, so anything after that is invisible. For prices, rules, deadlines and anything that moves, supply the current facts yourself, or go and check the source.

Why can an AI not produce the exact thing that is in somebody’s head?
ConceptualWhycomplexity 2

Nothing about your intention reaches the model except the words you typed. Everything obvious to you and left unsaid — the reader, the history, the thing you are really worried about — stays invisible. The fastest fix is to let it interview you: ask for four questions before any advice, then answer them properly.

How can somebody check whether an AI answer is actually true before relying on it?
How-ToHowcomplexity 2

Pick the one claim that would hurt most if it were wrong, and check that one first rather than everything. Names, numbers, dates, quotes, laws and prices each need a second source you already trust. If a study, book or page was named, open it — a fabricated reference reads perfectly until it is looked up.

What kind of everyday task is an AI assistant genuinely good at for a non-technical person?
How-ToWhatcomplexity 1

Understanding a document written in official language, drafting a message that has been put off for weeks, planning something with many small parts, and learning a subject from scratch at your own pace. Most use has nothing to do with work at all, and practical guidance is the single largest category.

Does using an AI assistant require any technical skill, coding, or software installation?
FactualDoescomplexity 1

None of the three needs anything installed. Each runs in an ordinary browser tab and each has a phone app, and using one means you type in plain language rather than learning commands. The only real skill involved is describing your own situation clearly, which is a writing habit rather than a technical one.

What is the difference between an AI chat window, an AI coding tool, and an AI agent?
ComparativeWhatcomplexity 3
KindWhat it can reachWhat that means for you
Chat windowOnly the words in the conversationSafest, and where nearly everybody should start
Coding toolFiles on your own computerIt changes real things, so review before accepting
AgentWhole tasks, run without supervisionNobody checks each step, so scope it narrowly
Why do two different AI assistants give different answers to exactly the same question?
ConceptualWhycomplexity 3

Each product sits on a different model, built by a different company from different material and tuned to different priorities. There is also deliberate variation inside a single model, so even one of them can answer the same question two ways. Differing answers are normal, and disagreement between two is a useful signal to check.

What does it mean when an AI conversation seems to forget what was said earlier?
ConceptualWhatcomplexity 3

Every model holds only so much text in mind at once, and that limit covers your whole conversation rather than only the latest message. Once a long chat passes the limit, the earliest part quietly drops away. Restate the key facts, or start fresh with a short summary, and you are back.

Should the work an AI produces be checked by a person before it is sent or published?
How-ToShouldcomplexity 2

Yes, and the check is part of the job rather than a sign of distrust. Read for invented specifics first, then for tone, then for anything that commits you to something. The time saved is in the drafting, never in the sending — and your name is on whatever goes out.

Is it dishonest to use an AI assistant for writing at work or in study?
EthicalIscomplexity 3

The question turns on the rules of the place, and on how much of the thinking is yours. Many workplaces treat it like a spellchecker; many courses treat undeclared use as misconduct. Ask what the rule actually is rather than assuming, and where a rule exists, follow it and say so.

Why does the same prompt that worked last year give a worse answer today?
ConceptualWhycomplexity 3

Models are replaced with new versions regularly, and each version behaves a little differently from the one before. A phrasing tuned to an older release can land flatter on a newer one, which is also why advice written a year ago may describe behaviour that no longer exists. Check the date on any guidance being followed.

What is the single best first task for somebody who has never used an AI assistant?
How-ToWhatcomplexity 1

Take one real piece of paper you have been avoiding — a letter, a bill, a form — hand the whole thing over, and ask what it wants from you and by when. A real task teaches more in five minutes than any amount of experimenting with clever questions.

Can an AI assistant make a decision on somebody’s behalf about money, health or a career?
EthicalCancomplexity 3

You will get options laid out, trade-offs named, and questions you had not considered — genuinely useful. What no model can do is carry the consequence, because you are the one living with the result next year. The judgement stays yours.

Does anything typed into a free AI assistant get used to train future models?
FactualDoescomplexity 3

The answer depends on which product you use, and on settings that change over time — no single rule covers all three. Each company publishes a current position and gives you some control in account settings. Read the one you use, and where your material is sensitive, assume yes.

Test yourself — a mixed set

Ten questions, and not one of them asks what you read further up. Each asks what you would actually do. Every question carries layered help — a nudge, then the reasoning, then a wider connection — so a wrong answer teaches you more than a right one.

Question 1 of 10
Multiple choice

What you now have

  • One model, many ways to use it — your chat window, a coding tool, an agent and your phone are the same thing at different reach.
  • Writing, not finding — which is why you get help where nothing has been written, and why you can be handed something sure and wrong at once.
  • Confidence is not a claim — a sentence built one likely word at a time leaves no step where doubt could enter.
  • Your situation is the whole difference — a question decides who turns up.
  • The postcard rule — if it would not go to a stranger on a postcard, it does not get pasted in.

One ask done. Now the course

From here it runs one lesson at a time, and every lesson ends in something real — a file found, a question answered, a habit you keep.

Free, no sign-up, and every task runs in your own account. LLOS never runs an LLM for you.