Chain-of-Thought
Techniques to force AI to explain the logical step-by-step before delivering the final answer. This process ensures coherence in calculations and structured analyses.
2-4 hours 4 Modules
Main Theme: Prompt Engineering
Duration: 2 - 4 Hours
Level: Intermediate
Target Audience: Professionals requiring technical precision, auditors, analysts.

Techniques to force AI to explain the logical step-by-step before delivering the final answer. This process ensures coherence in calculations and structured analyses.
Strategies to break down complex and extensive tasks into a sequence of 5 or more smaller, interconnected prompts. This prevents AI from losing context or getting confused along the way.
Implementation of verification techniques where the AI reviews its own work, identifies possible flaws, and corrects errors before presenting the result to the user.
Practical application in real scenarios, such as analyzing contractual clauses and calculating financial liabilities. Use of logical structures to identify validity periods, waiting times, and penalty percentages in an automated and precise manner.
Veja como estruturar um prompt eficaz usando Chain-of-Thought e uma abordagem orientada por etapas.
Você é um Especialista em Auditoria Jurídica e Financeira. Analise a cláusula de rescisão antecipada de um contrato de prestação de serviços logísticos de 36 meses. Pense passo a passo para calcular o passivo financeiro em caso de rescisão hoje. Siga esta estrutura: