PTENES
MODULE 1.1

🧬 Anatomy of a good prompt

The difficult email case: an unhappy customer is waiting for a response, and you have AI by your side. The same request, written 4 different ways, generates 4 completely different responses. In this module, you’ll see the progression unfold—and learn the 5 parts that shape the result.

7
Topics
45
Minutes
Basic
Level
Practice
Type
1

🧬 The 5 parts of a strong prompt

Every professional prompt, in any tool and for any task, is built from the same 5 pieces: Role, Task, Context, Format, and Example. You don't always need to use all 5—but you need to know which one is missing when the answer is bad.

Role who the AI is + Task what to do + Context what to know + Format how to deliver + Example model of what good looks like = Strong Prompt get the right response on the first try

THE 5 PARTS IN A REAL PROMPT (the course's universal template)

You are [ROLE]. ← who the AI should be
Your task is [TASK]. ← clear verb + clear object
Context: [WHAT IT NEEDS TO KNOW]. ← situation, audience, constraints
Format: [LIST / TABLE / STEPS]. ← what the response should look like
Example of what I want: [1 EXAMPLE]. ← one template is worth a thousand instructions

💡 Practical Tip

When an answer is bad, don't rewrite everything — diagnose which of the 5 parts was missing. Generic answer? Context was missing. Wrong tone? Role was missing. Messy? Format was missing. Diagnosis is faster than starting over.

2

⚔️ The difficult email — the same request in 4 versions

The situation: a client bought your product, had a delivery problem, and sent an angry message. You need to respond today. See what happens with each version of the request—this progression is the heart of the entire track.

V1

Version 1 — the raw request

respond to this client

What you get: a polite, completely generic text — “Dear customer, we regret what happened...” It could be for any company, any problem, any planet. You wouldn’t use it.

V2

Version 2 — task + situation (basic context is added)

Write a reply to a customer who complained that the order arrived 5 days late and the packaging was damaged.

What you get: visible improvement—the response mentions the delay and the packaging. But the tone sounds like a corporate robot and offers nothing concrete. Usable with a lot of editing.

V3

Version 3 — role, tone, and what to offer are added

You are the owner of a small shop who values every customer. Write a reply to a customer who complained (order 5 days late, damaged packaging). Tone: human and direct, no legalese. Own the mistake without groveling. Offer: free reshipment OR a refund, their choice.

What you get: a human-sounding response that owns the problem and offers a concrete solution. It would already be ready to send with minimal edits.

V4

Version 4 — all 5 parts complete (format + example)

[Everything from V3] + Format: maximum 120 words, 3 paragraphs — acknowledge, resolve, win them back. End with a personal sentence, not "sincerely." Example of the tone I want: "Hi João, you’re absolutely right to be upset — and I’ll take care of this today."

What you get: an email ready to send, in YOUR tone, the right length, with a thoughtful emotional structure. From “reply to this customer” to this: about 60 extra seconds of typing.

✗ What a weak request does

  • ✗Outsources ALL decisions to AI (tone, length, offer)
  • ✗Generates an answer that works for everyone = works for no one
  • ✗It forces you to rewrite—the “time savings” turn into a loss

✓ What a strong request does

  • ✓You make the important decisions; AI executes exceptionally well
  • ✓Answer in your tone, for your situation and your client
  • ✓60 more seconds on the request = 20 fewer minutes of editing

Progression

V1→V4: each added part visibly improves it

Your decisions

Tone, offer, and structure: you decide

Cost × return

1 min of prompting saves 20 min of editing

Reuse

V4 becomes a template in module 1.2

3

📐 Output format — ask for the answer in the format you’ll use

Those who don’t ask for a format get whatever format AI chooses—usually long paragraphs. The right question to ask before making a request: "where will this answer end up?" In a spreadsheet? Ask for a table. For a checklist? Ask for steps. For a slide? Ask for 5-word bullets.

FORMAT PHRASES TO ADD TO THE END OF ANY PROMPT

"Answer in a table with columns: X, Y, Z."
"List them in numbered steps, 8 steps max."
"Summarize in 5 bullets of no more than 10 words each."
"Prose, maximum 150 words, 2 paragraphs."
"Start with a 2-line summary, then the details."
"End with a question that helps me decide on the next step."

📊 Why this matters so much

  • Format = usable response without rework. The requested table is ready to paste directly into the spreadsheet.
  • Format limits length. "Max. 150 words" nips verbosity in the bud.
  • Format forces clarity. Asking for it "in steps" forces the AI to organize its reasoning in sequence.

💡 Practical Tip

Forgot to ask for a format? No worries: ask for reformatting in the next turn — “turn this into a table,” “now in 5 bullets.” AI reformats its own work in seconds. You saw this in the first guided conversation in module 1.0.

4

🎚️ The right level of explanation

The same content can be explained to a child, a layperson, or an expert—and AI does all three perfectly, as long as you say which one you want. See the same topic (compound interest) at 3 levels:

LEVEL 1 — CHILD (to help YOU understand something from scratch)

Explain compound interest as if I were 10, using an everyday analogy. Maximum 5 sentences.

LEVEL 2 — INTERESTED BEGINNER (to create accessible content)

Explain compound interest to an adult who has never invested, with 1 example in reais and 1 common mistake beginners make. Conversational tone, no formulas.

LEVEL 3 — EXPERT (to work as an equal)

Explain the effect of compound interest when comparing a post-fixed CDB and Tesouro IPCA+ over a 10-year horizon, considering regressive income tax. You can use technical terms.

💡 Practical Tip — the superpower of joining late

The “child” level is the the world’s best private tutor for yourself. Any term in AI, finance, or technology that intimidates you: "explain it like I'm 10 years old." Then move up to level 2. In two questions, you'll understand what seemed inaccessible—that's how a latecomer quickly becomes a veteran.

5

🧪 Examples and intentional comparisons

The most powerful instruction there is isn’t an instruction—it’s a example. AI imitates style, structure, and tone with impressive accuracy. Instead of describing what you want in 3 paragraphs, show 1 sample.

TECHNIQUE 1 — STYLE EXAMPLE ("write like me")

Write a notice about [TOPIC] in the same style as this example of mine: "[PASTE A TEXT YOU LIKE HERE]" Keep the tone, sentence length, and way of ending.

TECHNIQUE 2 — GUIDED COMPARISON (to make better decisions)

Compare [OPTION A] with [OPTION B] in a table using these criteria: cost, effort, risk, and timeline. At the end, recommend one for my situation: [YOUR SITUATION in 1 sentence].

🔍 Why examples work so well

Remember module 1.0: AI is a pattern machine. An example is a concrete standard — much easier to follow than abstract adjectives like “professional but casual.”

Practical rule: 1 good example > 3 paragraphs of description. Examples of what NOT to do work too ("avoid this style: ...").

6

💀 The 3 mistakes that kill a prompt

90% of bad answers aren't the AI's fault — they're caused by one of these 3 killers in your request. Learn to spot them in the prompt itself before pressing enter.

✗ The killer

  • ✗Generic: "Talk about digital marketing" — no audience, no objective, no focus
  • ✗Ambiguous: "Summarize the document and the important points from the meeting" — summarize what, exactly? Both? Together?
  • ✗No format: "Give me a few post ideas" — how many? For which platform? With a caption or just a concept?

✓ The antidote

  • ✓Scope: "3 digital marketing strategies for a neighborhood bakery with a R$300/month budget"
  • ✓One request per sentence: "1) Summarize the document in 5 bullets. 2) Then list the meeting decisions."
  • ✓Specification: "5 Instagram post ideas, each with a 1-line hook + image suggestion"

⚠️ The intern test

Before you send, ask: "if I gave this request to a smart intern on their first day, would they know exactly what to deliver?" If the answer is no, the AI doesn’t know either. Fix the request, not the response.

Generic

Antidote: narrow the scope (audience + goal + limit)

Ambiguous

One request per sentence, numbered

No format

Antidote: quantity + structure + destination

Intern test

A clear request for a person is clear for AI

7

🔁 Iteration — improve the response without starting over

The classic beginner’s mistake: the response is 80% good, so they delete everything and rewrite the prompt from scratch. A fluent user does it differently: uses the 80% and adjusts the 20% in the next turn. This is cumulative—use it.

REFINEMENT COMMANDS — the vocabulary for the second round

"Keep everything, just shorten paragraph 2."
"Good structure, but the tone is too formal — make it more casual."
"Replace example 3 with one from [FIELD]."
"Now the same thing, in a version for WhatsApp (3 lines)."
"Give me 3 variations of the title only."
"What did you assume that I didn't say? List it before continuing."

📊 The math of iteration

A reasonable prompt + 2 well-chosen tweaks gets you to the result faster than 10 attempts at a “perfect prompt” from scratch — because each adjustment builds on what’s already good. Perfectionism in the first prompt is beginner procrastination in disguise.

⚡ Slow User Shortcut

Memorize ONE adjustment command: "keep everything, just change X". It's the Swiss Army knife of iteration—it preserves what's good and surgically replaces what isn't. With this one habit, you'll already iterate better than most people.

🧬 Module Summary

✓
The 5 parts — Role, Task, Context, Format, Example: the framework for any professional prompt
✓
The difficult email V1→V4 — 60 more seconds spent on the prompt, 20 fewer minutes of editing
✓
Format for the destination — ask “where will this answer end up?” and request it in the format you’ll use
✓
Explanation level — child / layperson / expert: the personal tutor for anyone starting late
✓
The 3 killers and the intern test — generic, ambiguous, no format: fix the request, not the response
✓
Cumulative iteration — “keep everything, just change X” is worth more than starting over 10 times

📦 Module deliverable:

Take 3 real prompts you’ve already used (or would use) and rewrite each one with the 5 parts. Test the before and after in the tool. Save the 3 “after” versions—they’ll be the first items in your library in module 1.2.

Next Module:

1.2 — Reusable prompts: from improvisation to a template (and 10 ready-to-use templates)