Vibe Coding · Aula

Automação de tarefas em várias etapas

Encadeie etapas em um fluxo de trabalho.

Automação de tarefas em várias etapas é uma aula grátis de Vibe Coding no CoddyKit. Esta é a aula 3 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Vibe Coding, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Vibe Coding inclui 4 aulas no total.

Partes desta aula ainda não foram traduzidas e aparecem em inglês.

Chaining Steps Into a Workflow

One tool call is handy. The magic of agents is chaining many steps into a single flow that runs on its own.

"Fetch the data, clean it, save it, and email me a summary" is four steps — but to you it's one request. The agent walks the chain, passing the result of each step into the next.

This lesson is about thinking in workflows, not single commands.

What Is an Automation

An automation is a workflow that runs without you babysitting each step. You define it once; it repeats reliably.

Examples a beginner can build with AI:

Every morning, fetch news headlines and post a summary
When a form is submitted, save it and send a thank-you email
Resize and rename every image in a folder

The agent strings the steps together; you just describe the end-to-end flow.

Steps Pass Results Forward

The key idea: each step feeds the next. Step 1's output becomes step 2's input.

Here's a tiny chain in JavaScript — fetch a number, double it, then label it. Each line uses the previous result:

function step1() { return 21; }            // get data
function step2(n) { return n * 2; }        // transform it
function step3(n) { return "Result: " + n; } // format it

const a = step1();
const b = step2(a);
const c = step3(b);
console.log(c); // Result: 42

Describe the Whole Flow

To get a good automation, write the steps in order, like a recipe. The clearer the chain, the better the agent builds it.

Notice how this prompt lists each step and what connects them:

Workflow prompt (Claude Code):

"Build a script that does this in order:
1. Read all .txt files in the ./notes folder
2. Combine them into one document
3. Ask the AI to summarize that document in 5 bullets
4. Save the summary to summary.md
Test it on the sample files and show me the output."

Handling 'What If a Step Fails?'

Real workflows hit snags: a file is missing, an API is down, the internet drops. A good automation handles failures instead of crashing silently.

When you ask an agent to build a flow, tell it what to do on errors: retry, skip, or stop and warn you. This one sentence saves you hours of mystery bugs.

Add this to any workflow prompt:

"If any step fails, don't crash silently — print a clear message
saying which step failed and why, then stop. For the API call,
retry up to 3 times before giving up."

Loops: Repeat Over Many Items

Lots of automations do the same step to many items: every file, every user, every row. That's a loop.

Here a loop greets a whole list — the agent writes patterns like this when you say "do X for each":

const users = ["Ada", "Linus", "Grace"];
for (const name of users) {
  console.log("Sending welcome email to " + name);
}
console.log("Done — " + users.length + " emails sent.");

Letting the Agent Run the Whole Chain

With an agentic tool, you don't just generate the script — you let the agent run it, watch the output, and fix what breaks, all in one go.

It might fetch real data, see an empty result, realize the URL was wrong, fix it, and re-run. That self-correcting loop is what makes agents feel like automation, not just code generation.

Scheduling: Run It on a Timer

Many automations should run on a schedule — every hour, every morning, every Monday. That's where automations earn their keep while you sleep.

Beginner-friendly options: a cron job, a tool like Zapier or Make, or a scheduled function on Vercel. Ask AI to set the timer for you.

Prompt to add a schedule:

"Set up this script to run automatically every day at 8am.
I'm deploying on Vercel — use a Vercel Cron Job. Show me the
config file and explain where it goes."

Connecting Real Services

The most useful automations connect the apps you already use: Gmail, Slack, Notion, Google Sheets, a database.

Two paths: (1) no-code tools like Zapier/Make drag steps together, or (2) ask an agent to write code that calls each service's API. For your first automations, no-code is fast; code gives you full control later.

Test on Small, Then Scale Up

Before unleashing an automation on 10,000 rows or your real inbox, test on a tiny sample. One file. One fake email. A dry run that prints what it would do instead of doing it.

Automations repeat fast — including mistakes. Catching a bug on 3 items is cheap; catching it after it emailed your whole list is not.

Safe-testing prompt:

"First run this in 'dry run' mode: print what each step would do
without actually sending emails or deleting files. Let me confirm
the output looks right, THEN add a flag to run it for real."

Think in Flows, Not Commands

The shift this lesson asks for: stop thinking "what command do I run?" and start thinking "what's the flow from start to finish?"

List the steps, name what passes between them, decide what happens on failure, and choose when it runs. Hand that to an agent and you've automated real work — the indie builder's superpower.

Quick Check

Let's lock in the safest way to launch a new automation.

Recap: Workflows That Run Themselves

You now think in automations:

An automation chains steps; each step's output feeds the next.
Describe the whole flow in order, like a recipe.
Say what happens on failure (retry / skip / stop).
Use loops to repeat over many items, and schedules to run on a timer.
Always test small or dry-run before going live.

Next, the crucial finale: keeping these powerful agents safe.

Perguntas Frequentes

A aula “Automação de tarefas em várias etapas” é grátis?

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O que vou aprender em “Automação de tarefas em várias etapas”?

Encadeie etapas em um fluxo de trabalho. Você pratica Vibe Coding com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar Vibe Coding?

Nenhuma experiência prévia é necessária. Vibe Coding no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 3 de 4.

Quanto tempo leva a aula “Automação de tarefas em várias etapas”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de Vibe Coding?

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