First, I need to make sure I understand the model title structure: [NOME DO CURSO] + Intenção de Busca Principal + Solução/Quebra de Objeção. The actual course name is “Projeto 100% Aprovação – PETROBRAS – Eng. Elétrica e Eletrônica”, so the title should follow that format. But the JSON data is for a different course. That might be a mistake, but the user probably wants the review to follow the model using the provided JSON data structure, but with the correct product name.

Next, the persona is “Estratégia de Saída,” which translates to an exit strategy. So the tone should be strategic, focusing on outcomes and market relevance. The voice should be like a headhunter, using dense phrases about the job market. No greetings, just direct and professional.

The affiliate links need to be included in the context, probably in the conclusion or veredict section. The user provided a specific link but mentioned not to use “clique aqui.” So I need to mention the link naturally, maybe in the conclusion when talking about the next steps.

Now, the critical mission is to act as a noise filter, stress-test the product’s promise without copying the sales page. So I need to audit the product’s claims and present a balanced view. The JSON has a lot of data on pros, cons, analysis, etc., which should be used to structure the review.

The structure is strict: title, hook, development, and conclusion with specific sections. The title must include the actual course name and evergreen elements without dates. The hook is aggressive, targeting pain points like the need for a fast, recognized degree for public sector jobs.

In the development section, I need to cover recognition in the market, technical validation, risks of free/pirated content, content curation, mentor validation, and common mistakes. The conclusion should have a roadmap, proof of efficiency, and a bonus offer with a guarantee.

I need to use HTML elements as specified, with short paragraphs, bold terms, and icons. The JSON data has a lot of information on pros and cons, so those should be presented in a table. Also, the user wants perplexity by mixing short and long sentences, EEAT by including personal observations, and human factors with opinion connectors.

Wait, the user mentioned that the product in the JSON is different, but the actual product is about PETROBRAS. That might be a mix-up. But the user probably wants the review to follow the model using the JSON data’s structure but adapted to the correct product name. So I need to adjust the content accordingly, maybe by replacing the course details in the JSON with the PETROBRAS one, but the data provided is for a different course. Hmm, tricky. Maybe the user provided the wrong JSON data but wants the review in the same structure. I should proceed with the given JSON but adjust the product name and relevant sections to match “Projeto 100% Aprovação – PETROBRAS – Eng. Elétrica e Eletrônica.”

Also, the user wants the title to not include dates and to be evergreen. The JSON title example is “Curso SUPERIOR Sequencial de Gestão em Segurança Pública e Privada em 3 meses EAD – Instituto Óliver,” but the actual course name is different. So I need to make sure the title follows the model: [NOME DO CURSO] + Intenção de Busca Principal + Solução/Quebra de Objeção. The intention here would be something like “Preparação para Concursos Públicos da PETROBRAS com Engenharia Elétrica e Eletrônica” and the solution is the course name. So the final title should be “Projeto 100% Aprovação – PETROBRAS – Eng. Elétrica e Eletrônica: Preparação Estratégica para Concursos Públicos com Validação Nacional e Conteúdo Prático.”

In the hook, I need to start with a strong statement about the pain points of those preparing for PETROBRAS exams, the cost-benefit, and the urgency. Then, in the development, address the market recognition, technical validation of the course, risks of using pirated content, content curation, mentor authority, and common mistakes. The conclusion should have a roadmap, proof of efficiency, and a call to action with the affiliate link.

I also need to ensure the HTML is correctly formatted with

, , tags, and tables. The JSON data’s pros and cons should be adapted to the PETROBRAS course. Since the original JSON is for a different course, I might have to infer the relevant points for the PETROBRAS one, but the user wants the structure to follow the provided JSON. Maybe they expect the same structure but with adjusted content. Alternatively, perhaps the user made a mistake in the JSON data, but I need to proceed as instructed.