The KAGAMI mark КАГАМИ
kagami.bg/academy · lesson · machine-readable viewVERIFIED 2026-10-14
IDENTITY
module
PISHI 04 · Clear and direct: a request even a new colleague understands
series
Write with AI (based on Anthropic's free materials) · Part II — Description
level
Beginner
duration
~15 min
trust_label
VERIFIED 2026-10-14 (against Anthropic's current prompting best practices)
language
human view: bg · english edition: /en/academy/pishi/pishi-04-yasno-i-direktno.html
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pishi-03 (planned)
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pishi-05 · Role and audience (planned)
PURPOSE

Teach a non-technical person to write a request to an AI model the way they would brief a capable new colleague who has zero context: say exactly what is wanted, for whom, in what form, and why.

KEY CONCEPTS
COMMANDS / PATHS
CHECKLIST
NEXT MODULE

pishi-05 · Role and audience (planned) · offer: Quick experiment €39 incl. VAT (kagami.bg/stalbata/)

SOURCES
TAGS
promptingclaritycontextbeginnerwrite-with-ai
VERIFIED · 14.10.2026

Clear and direct: a request even a new colleague understands

A model knows only what you write. Write to it as you would to a capable new colleague who knows nothing about your work: what you want, for whom, in what form, and why. It is the simplest and most useful technique there is.

⏱ ~15 min Beginner Write with AI · 04 request · context · reason
Claude (or another chat model)🌐 global model Local model🔒 local

01What you will learn

02Before you start

⛔
Other people's personal data stays out of the cloud
Use invented or anonymised data for the exercise. Client names, phone numbers and addresses do not go into a cloud model — that is what the local one is for.

03Steps

  1. Picture a new colleague

    A model is like a very capable person on their first day. It writes well and thinks fast — but knows nothing about your company, your client, yesterday's conversation or what seems "obvious" to you. It knows only what your request says. If something is missing it does not ask — it guesses, and it guesses the average, most likely way.

    That is why "Write a post about the event" returns generic, smooth and useless text. Not because the model is weak, but because nobody told it which event, for whom, or why.

  2. The colleague test

    Before you send a request, read it as if you were handing it to a colleague who missed the meeting. Could they do the job from this text alone, without asking you anything?

    ✅
    The rule
    If a colleague with minimal context would be confused by the request, the model will be too. Add whatever you would explain out loud.
  3. The six questions

    A clear request answers six questions. Not always all of them — but check which ones are missing.

    QuestionExample
    What?a Facebook post for a free seminar
    For whom?accountants over 40, sceptical about AI
    How long?up to 80 words
    What tone — and why?calm and businesslike, because this audience doesn't trust advertising promises
    In what form?one paragraph, no emoji, no hashtags
    What does the reader do next?one call to action: sign up via the link

    Compare the two requests:

    Unclear
    Write a post about the event.
    Clear and direct
    Write a Facebook post for a free seminar "AI for accountants",
    24 October, 18:00, Varna.
    Audience: accountants over 40, sceptical about AI.
    Up to 80 words, one paragraph, no emoji or hashtags.
    Tone: calm and businesslike — this audience doesn't trust advertising promises.
    End with one call to action: sign up via the link.

    The second request is not "cleverer". It simply says what you would tell a colleague.

  4. Say why, not only what

    A bare ban works worse than a ban with a reason. When it knows why, the model applies the rule even in cases you did not foresee.

    Rule onlyRule with a reason
    Do NOT use ellipses.The text will be read aloud by a voice assistant, so no ellipses — it cannot pronounce them.
    Keep it short!People will read it on a phone between two clients — three sentences at most.
    💡
    No shouting
    Capitals and "MANDATORY!!!" don't help current models — they already follow instructions literally, and pressure makes them overdo it. One calm sentence with a reason is stronger.
  5. The verb decides

    Current models follow instructions more literally. Ask "Can you suggest changes to the text?" and you get suggestions. Write "Change the text so that…" and you get changed text. If you want something specific — no preamble, one name only, exactly three options — say so. The model does not read minds.

    ⚠️
    Trap: the polite question
    "Could you…" sounds polite, but it is a question, not a task. Politeness is fine — just put in the verb for the action: "Rewrite…", "Shorten…", "Put into a table…".
  6. Practice: your task, twice

    Take your task from this week. First write it the way you would have without this lesson. Then write it by the six questions, with a reason for the tone. Compare the two answers. Here is a template to copy and tasks by profession:

    Template · clear request
    Task: [exactly what to do]
    For: [who will read or use it]
    Length: [how much]
    Tone: [which] — because [reason]
    Form: [paragraph, table, list, email…]
    Next step for the reader: [one step]
    Data to use: [facts, dates, prices — these only]
    ProfessionExercise task
    Photographera website image description (alt text) — up to 15 words, for people who can't see the photo
    Designera 5-line logo brief — for whom, what feeling, what to avoid and why
    Marketingan email to past clients — 3 sentences, one link, no pressure
    Engineera code-review request — what to check and what not to touch
    Lawyera contract summary for a client with no legal training — 5 points, plain language
    Accountanta reminder to a client about missing documents — polite, with a deadline and a list

04Check

1. What is the fastest way to check whether your request is clear?

2. Why does a rule with a reason work better than a bare ban?

3. You wrote "Can you suggest changes to the text?". What will you most likely get?

4. What is missing from "Write a post about the event"?

05What's next

Next lesson · 05 · coming soon

Role and audience

How one sentence — "who you are and who you're writing for" — changes the tone and level of the answer.

The Ladder

Quick experiment

We try one of your tasks in front of you and leave you a ready request template for it. You leave with a result.

€39 incl. VAT See the Ladder

06Sources

  1. Anthropic · Prompting best practices — "Be clear and direct" and "Add context"; the living reference for current models.
  2. Anthropic · Prompt engineering overview — where to start.
  3. Anthropic · Interactive prompt engineering tutorial, chapter 2 — the original course (written for the 2024 models). The examples in this lesson are our own.
  4. Anthropic Academy · Claude 101 — a free course with a certificate.