Before installing anything, it’s worth understanding what you’re about to use. This module gives you the complete mind map: the problem the tool solves, how it works in 3 phases, what it delivers, and why it costs just pennies.
Illustrative diagram — from a single company name to a complete strategy package, across five areas.
Almost every company today wants to "do something with AI," but runs into the same wall: a strategic AI consulting is expensive, time-consuming, and depends on rare specialists. As a result, most companies stay stuck—with no assessment, no plan, and no idea where to start.
The AI Strategy Factory takes the work a consulting firm would do over several weeks—research, diagnosis, roadmap, return analysis, governance—and automates it. What used to cost thousands of reais now costs pennies, and what took weeks is ready in minutes.
Everything in this tool fits in one sentence: you enter a company name and get a complete AI strategy package. It’s a funnel: one simple input, many ready-to-use outputs. Keeping this mental model in mind makes the rest of the course easy to follow.
# Entrada: só o nome da empresa
python -m strategy_factory.main run "Stripe"
# Saída: uma pasta cheia de entregáveis
output/stripe/
├── markdown/ (15 documentos)
├── presentations/ (2 apresentações .pptx)
├── documents/ (2 relatórios .docx)
└── mermaid_images/ (diagramas .png)You'll see this command in detail in Track 2. Here, what's important is the format: a name goes in, a package comes out.
The package isn’t the final word: it’s a strong draft, at the level of an analyst who saves you hours. The value is having 80% ready in minutes—you add your judgment in the final 20%.
The package has four file types. You don’t need to memorize each one now — Track 3 opens them all — but it’s helpful to see the scope of what a single run produces.
Technical diagnosis, pain points, maturity, roadmap, quick wins, ROI, vendor comparison, AI policy, data governance, prompt library, glossary, and more.
An executive summary (10-15 slides) for leadership and a complete presentation (40-50 slides) with all the findings.
The final strategy report (everything compiled) and a statement of work with a timeline and costs.
Current architecture, future architecture, data flow, roadmap, and integration—generated from Mermaid code.
Behind the scenes, the tool works in three phases in sequence. Knowing this sequence helps you understand the progress bar and know where to look when something goes wrong.
Runs 9 to 18 searches about the company and its industry: overview, tech stack, competitors, pain points, and regulations. The results are saved for reuse.
Uses the research to generate the 15 documents in the right order (some depend on others). This is the phase that turns raw data into clear strategy.
Turns the text into PowerPoint and Word files and renders the diagrams as images. This phase runs locally and has no API cost.
Research and Synthesis use paid AI tools (Perplexity and Gemini). Generation is local and free. That’s why the total cost is so low: the “expensive” part is minimal.
The tool combines two AI services with different roles. Understanding who does what explains why you need two keys — and what each one charges for.
Each service has its own API key, created on a different website. In the next module, you'll get both—about 10 minutes total, and both have free plans to get started.
This is the part that tends to surprise people: the cost is ridiculously low. You only pay for the AI calls in the first two phases—file generation is free.
For most cases, Quick already delivers a great draft for less than 10 cents. Switch to the in-depth mode only when you need more depth (Track 2 compares the two).
The tool is intentionally generic: it works for any company and for different types of users. What they have in common is that you don't need to know how to code — just follow the steps in this course.
It’s a strategy accelerator: it delivers a quality draft in minutes for a human to refine. With that in mind, you’re ready to install it—that’s the next module.
1.2 — Prerequisites & Installation — get the two API keys and leave the tool installed and ready to run.