Go Beyond the Basics with AI and build real projects from scratch!

/01 · the problem

You don't need another tutorial. You need a system.

Most people get stuck at the basics: one-off questions, generic answers, zero process. The result? Hours spent and almost nothing that turns into revenue, saved time, or shipped product.

• 01

  You only ask one-off questions

  You open ChatGPT, type whatever comes to mind, get a mediocre answer, and conclude that AI "just doesn't work" for your business.

• 02

  It never becomes a process

  You use AI once a day, no templates, no context, no automation. Tomorrow you start from scratch all over again.

• 03

  Afraid of getting it wrong (and of sounding like a robot)

  You keep AI out of sales, content, and operations. You stay stuck in tutorial mode while your competitors are out there actually testing.

• 04

  Too many tools, zero method

  You've tried a bunch of apps, saved prompts in Notion, and you still don't have a single workflow that runs on its own and moves revenue or saves time.

/03 · curriculum

5 core modules, plus a capstone project.

From your first system up and running to your capstone project in production. Every core module ends with something you can use in your business that same week.

1. 01

   From loose chats to your first system in production

   Quick win

   6 topics · tap to expand

   • ▹ Productive AI vs Instagram demos: what actually changes in a performance business
   • ▹ A simple map: chat, automation, agents, and when each one matters for revenue
   • ▹ Minimal setup: accounts, folders, security, and what never to paste into a public prompt
   • ▹ The one-page operational prompt: role, context, task, format, criteria
   • ▹ Real case (inspiration): how the "tool that solves one job" logic shows up in gerar.app (a collection of 18+ free tools, an AI SaaS, and analytics)
   • ▹ Artifact: your first simple automation running (e.g. form or spreadsheet → AI summarizes/classifies → the result comes straight to you)
2. 02

   Business context: AI that knows your offer

   Core

   7 topics · tap to expand

   • ▹ Why context beats the "magic prompt" when the game is sales and retention
   • ▹ Documenting your company for AI: offer, ICP, objections, tone of voice, what never to say
   • ▹ Projects, Custom GPTs / Gems, and lightweight knowledge bases without overengineering
   • ▹ A reusable prompt library for sales, support, and operations
   • ▹ Anti-hallucination checklist: quality control before anything reaches a client or an ad
   • ▹ Real case (inspiration): Pense Mercado (financial analysis with an AI assistant and 1,300+ assets) and the role of context plus domain knowledge
   • ▹ Artifact: your prompt pack + your business "brain" (a context doc ready to reuse)
3. 03

   Automations that save time and push revenue

   Build

   6 topics · tap to expand

   • ▹ n8n and Make: when to pick each one in agency and product scenarios
   • ▹ Real triggers: forms, WhatsApp, spreadsheets, email, webhooks
   • ▹ Lead comes in → AI qualifies → CRM or spreadsheet updates → you just close
   • ▹ Human in the loop, retries, and just enough logging to keep the operation from breaking
   • ▹ Real case (inspiration): Tobia (a multi-tenant white-label CRM with AI-powered support) and the "AI handles the conversation, humans make the call" design
   • ▹ Artifact: a qualification or follow-up workflow for your funnel, published and tested
4. 04

   Performance content and creatives in your own voice

   Growth

   6 topics · tap to expand

   • ▹ Angles that convert (not "10 generic tips")
   • ▹ Reels/Shorts scripts, carousels, and copy in your brand voice
   • ▹ Ad creatives: brief → generation → variations → testing
   • ▹ AI image and video: when to use it and when to hire a human
   • ▹ Real case (inspiration): Cooloria (a coloring pages portal with an AI generator and photo-to-coloring-page) and generative AI with a clear product purpose
   • ▹ Artifact: a 7-day content pack + creative variations for ad testing
5. 05

   Capstone: a system in your business, in production

   Capstone

   6 topics · tap to expand

   • ▹ Picking the problem with criteria: more revenue, less time, or higher delivery quality
   • ▹ Simple architecture: inputs, AI, outputs, a process owner, and the one metric you'll watch
   • ▹ Guided implementation + quality review (anti-hallucination and brand voice)
   • ▹ Documentation so you (or your team) can run it the following week
   • ▹ How I actually build products with AI: gerar.app, Cooloria, Pense Mercado, and Tobia as references for decisions (not templates to copy)
   • ▹ Artifact: your capstone project published (an automation, an AI-powered funnel, an operational assistant, or a media pack with a workflow behind it)