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Tier 02  /  Prompting

Stop asking. Start directing.

A prompt is not a search query. It's a one-paragraph job brief for a smart, fast intern. This tier gives you the shape of a working prompt, a method to turn vague needs into concrete asks, and the three failure modes that ruin everyone's first month with AI.

Approx 20 min read Open a chat in another tab You will write better prompts by the end

01 · Two kinds of prompts

System prompts and user prompts. Yours is the user one.

Every LLM conversation has at least two layers of prompt. You write one. The platform writes the other. Knowing this changes how you think about every chat.

Always present

System prompt

Hidden instructions the platform sends at the start of every conversation. "You are Claude, a helpful assistant made by Anthropic. Today's date is..." Sets the model's personality, what it will refuse, what tools it can use. You usually can't see it and can't fully override it. In Projects, Custom GPTs, and Gems (Tier 4), you get to write part of it.

What you control

User prompt

What you type into the chat box. Everything you write is a user prompt. Plus any files you attach, images you paste, voice you record. The system prompt frames the conversation; your user prompt drives the work.

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Why this matters at Tier 2

Until you reach Tier 4, you are only writing user prompts. Every technique here is about getting more out of that single channel. Once you graduate to Projects and Custom GPTs, you'll start writing your own system prompts, and the same principles still apply.

02 · Anatomy of a working prompt

Five ingredients. Skip any of them and quality drops.

You won't always need all five for short tasks. For anything you'll act on, include all five.

1

Role

Who is the model playing? "You are a copy editor." "You are an estate planning attorney." Tells the model which slice of its training to lean on.

2

Goal

What is the outcome? Not "the topic", the outcome. "Rewrite this email so it's 30% shorter and still warm." Specific verbs.

3

Context

What does it need to know that isn't obvious? The audience, the constraints, the existing voice, the goal behind the goal. If you wouldn't email it to a new contractor, the model doesn't have it.

4

Format

What should the output look like? Bullet list. Three paragraphs. A table with these columns. JSON. Markdown. Plain text under 200 words. Be specific.

5

Examples

Show it one or two examples of the shape of answer you want. Few-shot prompting. The single highest-leverage move you can make on a hard task.

A vague prompt vs the same prompt with all five

Vague
make this email better: hey wanted to follow up on our chat let me know if you want to move forward
All five ingredients
You are an experienced B2B sales rep writing for busy operators. Rewrite the email below so it: - opens with a specific reference to what we discussed - proposes one concrete next step with a date - keeps the warm tone, no corporate-speak - stays under 80 words Format the output as the final email, no commentary. Email: "hey wanted to follow up on our chat let me know if you want to move forward" Context: we talked Tuesday about workers' comp mod issues at their plant. Next step is a 15-min call to review their loss runs.
AB
AiAi Bro

The version on the right takes about thirty seconds longer to write and saves you four revision rounds. That's the entire deal. Most beginners type the version on the left, get something mediocre back, blame the AI, and never realize the AI was answering exactly what they asked.

03 · The Funnel Method

When you don't know how to write the prompt, let the model write it.

The most common stuck-point: you have a vague goal and no idea how to turn it into something specific enough. The Funnel Method solves this every time.

Prompt 1, clarify
I want to use you to [vague goal]. I don't know exactly what I want yet. Ask me 5-7 clarifying questions, one at a time, that will let you build the strongest possible response for me. Wait for my answer before the next one.
Prompt 2, execute
Based on everything I just told you, [now state the concrete task]. Use my answers as the spec. If anything is still ambiguous, make a reasonable assumption and flag it at the bottom.

When to use it

A

Anything you'd describe as "help me with..."

If your prompt starts with "help me," you don't have a brief yet. Funnel it.

B

Anything where you'd answer "I'll know it when I see it."

The clarifying questions force you to know it before you see it. Better output, less editing.

C

The first time you hand the model a new kind of task.

Use the answers as the seed for a Custom GPT or Project later (Tier 4).

04 · Iteration, not restart

Don't open a new chat. Refine the one you have.

The biggest unforced error after "vague prompt" is throwing away a chat the moment the first answer isn't perfect. Iteration is the whole game.

The four iteration moves

MoveWhat to sayWhen
Constrain"Shorter. Half the length. No bullet points."The shape is wrong
Redirect"Try again, this time emphasizing X and skipping Y."The focus is wrong
Compare"Give me three versions: one warm, one direct, one slightly playful."You don't know what you want yet
Quote"Keep the second paragraph exactly. Rewrite the rest tighter."Most of the answer is good, one part isn't
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When to actually start fresh

If the chat has drifted off-topic, if the model is contradicting itself, or if you're way past the first 20-30 turns, summarize what you've decided so far and start a new conversation with that summary as the opening prompt. Pollution accumulates. Sometimes a clean room is the answer.

05 · Examples beat adjectives

Show, don't describe.

"Write in a friendly, professional tone" is fifty times weaker than pasting two emails written in that tone. The model is shape-matching. Give it the shape.

Describing
Write a subject line that's punchy and curiosity-driving.
Showing (two examples)
Write a subject line in the style of: - "The deductible thing nobody told you" - "Why your premium just jumped 14%" Subject the new one is about: workers' comp audits arriving early this year.

When few-shot earns its keep

Voice mimicry

Anything that should "sound like you" or "sound like our brand." Three examples of past work beats any style description.

Structured output

Want a specific table shape, JSON shape, summary format? Show one filled-in example. The model copies the shape.

Edge cases

Show one tricky example and how it should be handled. The model generalizes.

06 · The three failure modes

If your prompts aren't working, it's almost always one of these.

F1
Vague ask

You haven't actually said what you want.

"Help me with this." "Improve this." "Make it better." The model has to guess what "better" means and almost always guesses generic. Fix: name the specific outcome, the audience, and what good looks like.

F2
Kitchen sink

You stuffed five tasks into one prompt.

"Summarize this, then write an email about it, then make a LinkedIn post, then translate it to Spanish, oh and check the math." Quality collapses across all five. Fix: one task per turn. Chain them in the same chat. Each step gets your full attention and the model's.

F3
No format

You didn't say what shape you want.

The model defaults to wall-of-text bullet lists with friendly preamble. Almost never what you actually wanted. Fix: "Reply as a single paragraph under 100 words, no preamble." Specify the shape and the size.

07 · Patterns to steal

Five prompts that work in every LLM.

Copy these. Adapt the [bracketed] parts. Use them today.

Pattern 1, Critique my work

"You are a [role] with [experience]. Critique the [thing] below as if I were your direct report and you cared about my growth. Surface the three weakest spots, in priority order, with a one-sentence fix for each. Be direct. No preamble. \n\n[paste the work]"

Pattern 2, Decision framing

"I'm deciding between [Option A] and [Option B]. My situation: [3-4 lines of context, including what I actually care about]. Give me: (1) the case for A in 4 bullets, (2) the case for B in 4 bullets, (3) the one question that should decide it, (4) your recommendation with one reason."

Pattern 3, Reverse outline

"Reverse-outline the document below. For each paragraph or section, give me one sentence describing what it actually does. Then tell me which parts are doing real work and which are filler. \n\n[paste document]"

Pattern 4, Explain like I'm new

"Explain [concept] to me. I know [what I already know]. I do not know [what I don't]. Use one concrete analogy. Don't use any jargon I haven't already used. Stop and ask if I want to go deeper before adding the next layer."

Pattern 5, Find the gap

"Here is what I'm planning to do: [plan]. Here is the outcome I want: [outcome]. Find the gap. What am I assuming that probably isn't true? What's missing from the plan? Three sharpest gaps only, in priority order."

08 · Do / don't

A short list of habits that compound.

Do
  • Write prompts that read like a one-paragraph brief.
  • State the format and length you want, every time.
  • Paste examples instead of describing them.
  • Iterate inside the chat instead of starting over.
  • Give the model permission to say "I don't know."
  • Use voice input for long context dumps. It's faster.
Don't
  • Treat the prompt like a Google search.
  • Stack five tasks into one message.
  • Use adjectives ("better," "clearer") without a definition.
  • Throw away the chat the moment the first answer flops.
  • Trust any fact, citation, or number without verifying.
  • Apologize to the model. It doesn't help. Just edit and continue.

09 · Before you climb

Self-check.

Practice these before moving to Tier 3. The next tier assumes you can write a working prompt.

Can you name the five ingredients of a working prompt without scrolling up?
Have you actually tried the Funnel Method on a real task?
Do you know the four iteration moves and when to use each?
Which of the three failure modes do you fall into most? Be honest.
Have you saved at least one of the five steal-able patterns somewhere you can find it tomorrow?