Advanced Prompting Techniques.

Deep Logic: The Architecture of Reasoning

This lesson moves beyond "Simple Commands" into **Systemic Prompting**. These are the techniques used by AI Engineers to build autonomous agents and complex software.

1. Chain of Thought (CoT)

Ask the AI to "Think step by step." This forces the model to show its work, which significantly improves logical accuracy in math, coding, and strategy.

Task: Estimate the market size for [Product] in [Region]. 

Requirement: Think step by step. First, identify the population size. Second, estimate the adoption rate. Third, calculate the final market value. Show your logic for each step.

2. Few-Shot Prompting (Pattern Teaching)

Don't just tell; **Show**. By providing examples, you ensure the AI follows your unique style perfectly.

Task: Classify customer reviews. 

Example 1: "I love it!" -> Sentiment: Positive | Priority: Low
Example 2: "It broke after 2 days." -> Sentiment: Negative | Priority: High
Example 3: [Your Review] ->

3. Role-Based Self-Correction

This is a 2-step process where the AI acts as both the **Creator** and the **Critic**.

Step 1: Write a blog post. 
Step 2: Act as a harsh editor and review the post for clarity and SEO. 
Step 3: Refine the post based on your review and provide only the final version.