Advanced Techniques - Prompt Engineering Guide

🚀 Advanced Prompting Strategies

These advanced techniques build upon basic principles to solve complex problems, enable sophisticated reasoning, and create more intelligent AI interactions.

🧠 ReAct Framework Intermediate

Reasoning + Acting: A systematic approach that combines logical thinking with action planning for complex problem-solving.

🔄 ReAct Flowchart

1. Observe the problem or situation

2. Think about possible approaches

3. Act on the best solution

4. Reflect on the outcome

5. Iterate if needed

💡 ReAct Prompt Structure

Use this template for complex problem-solving:

✅ Effective ReAct Prompt

"Let's solve this step by step using the ReAct framework:

Problem: [Describe the issue]

Approach: First, let's observe and understand the situation. Then think through possible solutions, act on the best one, and reflect on the results.

Please work through each step methodically."

💡 When to Use ReAct

Complex problem-solving scenarios
Multi-step decision making
Debugging and troubleshooting
Strategic planning and analysis

🎯 ReAct Example: Customer Service

Here's how ReAct works in practice:

🔍 Real-world Application

Problem: Customer reports website is slow

ReAct Process:
• Observe: Check server logs, user reports
• Think: Could be database, CDN, or code issue
• Act: Run diagnostics, check performance
• Reflect: Database query optimization needed
• Iterate: Implement caching solution

🔍 Self-Critique Advanced

Teaching the AI to evaluate and improve its own outputs through systematic self-assessment.

🔄 Self-Critique Process

Ask the AI to review its own work systematically:

✅ Self-Critique Prompt

"Now, please critique your own response:

1. Accuracy: Are the facts correct?
2. Completeness: Did I address all aspects?
3. Clarity: Is the explanation clear?
4. Logic: Does the reasoning make sense?
5. Improvements: What could be better?"

💡 Benefits of Self-Critique

Higher quality outputs
Self-correction of errors
More thorough responses
Better reasoning transparency

🎯 When to Use Self-Critique

Best for high-stakes content and complex analysis:

🎯 Perfect Use Cases

Academic writing and research
Legal or medical advice
Technical documentation
Financial analysis
Quality assurance tasks

👥 Multi-Perspective Intermediate

Exploring problems from multiple viewpoints to gain comprehensive understanding and generate better solutions.

Multiple Viewpoints Analysis

See how different perspectives can change the approach to a problem:

🎯 Problem: "Should we implement remote work?"

Employee Perspective: Flexibility, work-life balance, reduced commute
Manager Perspective: Team collaboration, productivity monitoring, communication
Company Perspective: Cost savings, talent pool expansion, real estate
Customer Perspective: Service availability, response times, quality

🔍 Multi-Perspective Prompt Structure

Use this template to explore multiple viewpoints:

✅ Multi-Perspective Prompt

"Analyze this situation from multiple perspectives:

• Stakeholder A: [Describe first perspective]
• Stakeholder B: [Describe second perspective]
• Stakeholder C: [Describe third perspective]

For each perspective, consider: motivations, concerns, benefits, and potential solutions."

🎯 Benefits of Multi-Perspective

Why this technique is powerful:

💡 Key Advantages

More comprehensive analysis
Better stakeholder understanding
Improved solution design
Reduced blind spots
Enhanced empathy and perspective

🌳 Tree of Thoughts Advanced

A sophisticated reasoning technique that explores multiple solution paths simultaneously, like a decision tree.

🌳 Tree of Thoughts Structure

Root Problem

Branch A: Approach 1

Branch B: Approach 2

Sub-branch A1

Sub-branch A2

Sub-branch B1

Sub-branch B2

Evaluate & Select Best Path

🌱 Building the Tree

How to construct a Tree of Thoughts:

✅ Tree of Thoughts Prompt

"Let's explore this problem using a Tree of Thoughts approach:

Root: [Main problem]

Level 1: What are the main approaches?
Level 2: For each approach, what are the sub-options?
Level 3: What are the pros/cons of each path?

Please build this tree step by step and then recommend the optimal path."

🎯 When to Use Tree of Thoughts

Best for complex decision-making scenarios:

💡 Perfect Use Cases

Strategic business decisions
Complex problem-solving
Multiple solution exploration
Risk assessment scenarios
Innovation and creativity tasks

📈 Least-to-Most Prompting Intermediate

Starting with minimal information and gradually adding complexity to guide the AI through increasingly difficult tasks.

🔄 Progressive Complexity

Build complexity step by step:

✅ Least-to-Most Approach

Step 1: "What is the basic concept?"
Step 2: "Now add the intermediate details."
Step 3: "Finally, include advanced considerations."

This approach helps the AI build understanding progressively.

💡 Benefits of Progressive Approach

Better understanding building
Reduced confusion
More accurate complex outputs
Easier error identification

🎯 Application Example

Teaching complex concepts:

📚 Learning Progression

Basic: "Explain what machine learning is."
Intermediate: "Now explain supervised vs unsupervised learning."
Advanced: "Finally, explain how neural networks work in detail."

📋 Advanced Techniques Quick Reference

When to use each advanced technique:

🧠 ReAct

Complex problem-solving with reasoning + action

🔍 Self-Critique

Quality assurance and self-improvement

👥 Multi-Perspective

Comprehensive stakeholder analysis

🌳 Tree of Thoughts

Complex decision tree exploration

📈 Least-to-Most

Progressive complexity building

📚 Complete Guide Navigation

Access all sections of the comprehensive prompt engineering guide:

🚀 Advanced Techniques