Write an article about AI

Write a 2,000-word article about why developers should use multiple AI models instead of just ChatGPT.
Include:
- 5 specific use cases where alternatives are better
- Pricing comparisons
- Code examples in Python
Target audience: Software developers with 3+ years experience
Tone: Direct, no fluff, data-driven
Format: Blog post with headers, bullet points, and examples

You are a world-class software architect with 20 years experience.
Evaluate this code architecture and suggest improvements.

[CODE]

You are a world-class software architect with 20 years experience
at Google, familiar with building systems at scale for millions of users.

Your response style: Direct, no fluff, assume reader understands advanced concepts.

Evaluate this code architecture for [SPECIFIC USE CASE] and suggest improvements.
Address: scalability, maintainability, performance, cost.

[CODE]

Solve this problem and show your work:
2 + 2 × 3 = ?

Solve this problem and show your work step-by-step.

Problem: 2 + 2 × 3 = ?

Instructions:
1. First, identify the order of operations
2. Show each calculation step
3. Explain why you did each step
4. Show the final answer

Format as:
Step 1: [explanation]
Calculation: [math]

Step 2: [explanation]
Calculation: [math]

Final answer: [with explanation]

I need you to analyze this market opportunity.

First:
1. Identify the key market segments
2. Define the problem each segment has
3. Estimate market size for each

Then:
4. Evaluate competition
5. Assess your competitive advantage
6. Recommend go/no-go decision

Show your reasoning at each step so I can follow your logic.

Here are examples of good product descriptions:

EXAMPLE 1:
Product: Blue Wireless Earbuds
Description: Premium audio quality, 8-hour battery, noise cancellation, water-resistant.
Price: $79

EXAMPLE 2:
Product: Mechanical Keyboard
Description: Cherry MX switches, RGB lighting, ergonomic design, programmable keys.
Price: $159

Now write a description for:
Product: USB-C Hub
Features: 4 USB 3.0 ports, HDMI, SD card reader, power delivery
Price: $49

Here are good customer support responses:

TEMPLATE:
Greeting: Personalized (use customer's name if available)
Acknowledgement: Show you understood their problem
Solution: Step-by-step fix
Follow-up: Offer additional help
Tone: Helpful, not robotic

EXAMPLE 1:
Customer: "My app keeps crashing on Android"
Response: "Hi Sarah, I see you're having crashes on Android. This is usually caused by [X].
Try these steps: [1] [2] [3]. If that doesn't work, let me know and I'll escalate to our engineering team."

EXAMPLE 2:
[Similar format...]

Now respond to this customer issue:
[NEW CUSTOMER ISSUE]

Constraints:
- Use ONLY information from these sources: [sources]
- Do NOT mention competitors by name
- Maximum 500 words
- Use 3rd person only
- Exclude any content about pricing
- Focus ONLY on technical implementation
- Use simple English (8th grade reading level)

Write a technical guide for setting up a development environment.

Constraints:
- Target reader: Experienced developers, but new to this specific tool
- Length: 1,500-2,000 words exactly
- Assume reader knows: Linux command line, Python, Git
- Do NOT assume reader knows: This tool's specific architecture
- Structure: Introduction, Prerequisites, Installation, Configuration, Verification, Troubleshooting
- Code examples: Include real, copy-pasteable commands
- Tone: Direct and practical (no introductions, jump to technical content)
- Do NOT include: Marketing language, feature comparisons, pricing

Write a Python function that [task].

Requirements:
- Function name: [name]
- Parameters: [list]
- Return type: [type]
- Include docstring with example usage
- Handle edge cases: [list specific edge cases]
- Include type hints
- Include 3 test cases

Format:
```python
def function_name(...):
    \"\"\"Docstring\"\"\"
    # Implementation
    return result

# Test cases
assert function_name(...) == expected

**For analysis:**

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## Technique 6: Temperature and Creativity Control

**How it works**: Tell AI how creative vs. factual you want.

**Low creativity (more factual):**

**High creativity (more exploration):**

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## Technique 7: Iterative Refinement

**How it works**: Use follow-up prompts to refine output.

**First prompt:**

**Follow-up prompts (iterative refinement):**

**Then:**

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## Real-World Prompting Examples

### Example 1: Code Review

### Example 2: Content Creation

### Example 3: Data Analysis

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## Prompting Rules to Live By

1. **Be specific**: "Write an article" → "Write a 2,000-word technical article about X for Y audience"
2. **Show examples**: Giving examples is faster than describing
3. **Set constraints**: Tell AI what NOT to do, not just what to do
4. **Define format**: Exactly how you want the output structured
5. **Clarify audience**: Who is this for? Adjust complexity accordingly
6. **Show your work**: Ask AI to explain its reasoning
7. **Iterate**: First output is rarely perfect. Refine with follow-ups
8. **Test across models**: Some models respond better to different prompts

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## The Meta-Prompt: Template for Any Task

Use this template for any prompting task:

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## The Bottom Line

The difference between average and exceptional AI output isn't luck or the model you're using.

**It's how you ask.**

Master these prompting techniques and you'll:
- Get 3x better results from any model
- Spend less time editing and refining
- Be able to switch between models easily
- Achieve what you want faster

**Start today:** Take one prompt you regularly use. Rewrite it using the techniques above. You'll immediately see better results.

---

## Related Articles

- [ChatGPT vs Claude vs Gemini: Which AI Model Should Developers Use?](/blog/chatgpt-vs-claude-gemini-2026)
- [Open Source vs Proprietary AI Models: Which Should You Use?](/blog/open-source-vs-proprietary-ai-models)
- [Building RAG Systems: Adding Your Knowledge to AI Models](/blog/building-rag-systems-ai)
- [Complete Guide to Multimodal AI Models](/blog/complete-guide-multimodal-ai-models)