Lesson 2 of 1012 min read

Text assistants: pick one, use it well

Which assistant to use (the answer is shorter than you think), whether to pay, and the shape of a request that gets a usable reply the first time.

There are three general-purpose assistants that matter for everyday work, and arguing about which is best is the most popular way of not using any of them. This lesson settles it in a paragraph, then spends the rest of the time on the thing that actually changes your results: how you ask.

Pick one. Here's how.

ChatGPT, Claude and Gemini are all good enough for ordinary work: writing, summarising, rewriting, explaining, planning, first drafts of almost anything. They differ at the edges, and the edges move every few months, so any ranking you read is already stale.

The decision procedure:

  1. If your company allows only one, use that one. Microsoft Copilot counts if that's what you've got; it's built on the same kind of model.
  2. If it allows several, use the one you've already opened. You'll learn more from a month with one than a week with each.
  3. If you've opened none, pick Claude or ChatGPT, flip a coin if you must, and don't revisit the choice for a month.

The skill you're about to build transfers. If you switch later, you lose nothing.

Should you pay?

Not yet. The free tiers do the work in this course. Pay when, and only when, the free version blocks something you're already doing regularly: you keep hitting the message limit on real tasks, you need to attach big files, or you need the stronger model for something where the difference is visible to you. "I might need it" is not a reason. One subscription is enough; two is a hobby.

Free Paid (roughly £15–20 a month)
Daily or hourly message limits, lower at busy times Much higher limits
Often a smaller, faster model Access to the best model and "thinking" modes
Attachments limited or small Larger files, more of them
Enough for this course Worth it once the limit stops real work

The shape of a request

Here is where almost all the difference between "it's useless" and "it's great" lives. Remember from lesson 1: the model can only see what's in the window, and it produces whatever shape of text seems most plausible. So a one-line request gets a plausible generic answer. A request that carries the context gets an answer for you.

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I’m an operations manager at a logistics firm. I need to write to our three biggest clients about a two-day delay caused by a port strike. They are busy and will skim it on a phone. Here’s the internal update, with dates: [pasted text] Write it as one short email, under 120 words, plain tone, no apologies in the first line, end with the new delivery date in bold. WHO YOU ARE THE TASK, and why WHO READS IT, how THE MATERIAL, pasted THE SHAPE of the output sets the register so it can judge trade-offs decides length and layout facts come from you, not it length, tone, what to avoid, how to end
Five parts. You don't need all five every time, but when a reply disappoints, one of them is usually missing.

Walk through them:

Who you are. One clause. "I'm an operations manager", "I'm writing as the HR lead", "I run a two-person design studio". It sets the register and the assumptions. Without it, the model writes for an imaginary average person.

The task, and why. Not just "write an email about the delay" but what the email is for. Knowing the purpose lets it make the hundred small trade-offs you'd make yourself.

Who reads it, and how. On a phone, in a hurry, between meetings. Or carefully, with a lawyer. This single line decides length, structure and tone better than any instruction about "professional but friendly".

The material. Paste it. Don't describe it. "Here's the internal update:" followed by the update beats "based on what we discussed" every time, because the model can't see what you discussed. Attach files when they're long. The facts in the reply should come from your material; anything it adds on its own is the part you check.

The shape of the output. This is the one people skip and then complain about. Say what it should look like: one email under 120 words; a table with three columns; five bullet points, each one line; a two-paragraph summary followed by three open questions. Describing the shape, not just the length, is the fix for "it writes an essay when I wanted two lines." The guide Why AI ignores your instructions on this site has eight habits for this; the short version is that you describe what the result looks like, including what to avoid.

Follow up. Don't start over.

The first reply is a draft. The second request is where it gets good:

Each follow-up is cheap, because the material is already in the window. Three quick follow-ups usually beat one perfect prompt. Resist the urge to rewrite your original request from scratch; just say what to change.

One chat per task

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ONE CHAT FOR EVERYTHING Mon: draft the client email Mon: rewrite it shorter · now in Spanish · actually no Tue: summarise this PDF about pricing Wed: a birthday poem for Sam Thu: “why is it writing the report in Spanish?” ONE CHAT PER TASK Client email about the delay Pricing PDF — summary and questions Weekly report, October Each one starts clean. Nothing leaks across. Easy to find again.
The left-hand chat is where "why is it suddenly writing in Spanish?" comes from.

Start a new chat for each new task. The window stays small, nothing leaks across tasks, the assistant isn't weighing Monday's poem while writing Thursday's report, and you can find things again. Most products let you name or pin chats; "Client delay email" is a better name than "New chat 14".

The one exception is a genuine continuation: you're still on the same document, the same analysis. Then stay. But "same week" is not "same task".

What it's reliably good at today

For someone whose job isn't AI, these are the safe bets. Start here, not with the exotic stuff.

And where to stay alert: anything with specific figures, names, dates, law, medicine, or money, it's a draft that needs checking against a real source. More on that next lesson.

Try this today

Take one email you need to write anyway. Give the assistant the five parts: who you are, what it's for, who reads it, the material pasted in, and the shape. Read the draft. Then make one follow-up change. Send the result as yourself, after your own edit. That's the whole lesson, in one real task.

Check yourself

5 questions. Everything is in the lesson above. Get them all right and the lesson counts as done.

1. Your company allows ChatGPT and Gemini. You've used ChatGPT twice. Which should you use for the next month?
A month with one assistant teaches more than a week with each. The habits you build transfer if you switch later.
2. When is paying for a subscription a good idea?
Pay when a limit stops real work, not in anticipation. The free tiers cover everything in this course.
3. The assistant wrote a long formal email when you wanted three plain lines. Which part of the request was most likely missing?
Length and tone come from describing what the result should look like: one email, under 120 words, plain. Without it, the model picks a plausible default.
4. The first draft is close but too long. What's the best next step?
The material is already in the window, so follow-ups are cheap and precise. Starting over throws that away.
5. Why start a new chat for each new task?
Each reply re-reads the whole window. A clean chat per task keeps it focused and avoids Monday's poem shaping Thursday's report.
Lesson 2 of 10 done

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