The Ultimate Prompt Engineering Boilerplate for LLMs

TL;DR — Prompt engineering is the new full-stack skill.

There, I said it, prompt engineering is essential to your AI success. If you want to master AI tools like ChatGPT, Claude, Midjourney, and Sora, you need structured prompting, fast iteration, and an understanding of how each model “thinks.” This post gives you:

🔁 Reusable prompt boilerplates
📊 A model comparison on performance & benchmark data
🧠 Strategic commentary on the AI arms race🚨 What you should be doing now to stay ahead

The Prompt Engineering Boilerplate

Every major LLM and AI tool has a slightly different “personality” and architecture. Here's a universal prompt format that works across platforms with minimal tweaks:

Prompt Template:

[ROLE]: You are a [professional role/expert/tone].  
[GOAL]: Your goal is to [objective or action].  
[STYLE]: Format your response in [style/tone/layout].  
[CONSTRAINTS]: Follow these rules: [rules or limitations].  
[EXAMPLES]: Use this for inspiration/context: [links, markdown, JSON, etc.].  
[TASK]: Now do the following: [main instruction].  

An Example of Chatbot Prompts (ChatGPT, Claude, etc.):

You are a sarcastic tech blogger with deep knowledge of programming languages and frameworks.

Your goal is to explain why TypeScript is a necessary evil in modern web development.

Format your response as a blog post, including a title, headers, and inline code snippets.

Rules: Keep it under 1000 words, include at least 2 jokes, and assume the reader knows JavaScript.

Example for tone: “Imagine JavaScript and Java had a baby during a midlife crisis. That’s TypeScript.”

Now write the blog.

And Example of Image Generation (Midjourney or Image Gen):

/imagine prompt: A futuristic city with glowing highways, flying cars, AI billboards, and a sunset skyline — ultra-realistic style, 4k detail, cinematic lighting, symmetrical composition, hyper-detailed
--ar 16:9 --v 6 --style raw
 

An Example of Video Generation (Sora):

"A slow cinematic shot moving through a lush, enchanted forest as light rays break through the trees and tiny fairies flutter around. Camera moves like a drone. Widescreen. No music. Natural ambient forest sounds."

Model Comparison: What the Benchmarks Say

What We Learned:

• OpenAI (GPT-4o + Sora) is dominating multimodal AI, but its video lead is closed off for now.
• Claude 3 Opus has strong reasoning but can get stiff for creative prompts.
• Midjourney v6 still leads on photo-realism, especially with prompt modifiers like --style raw.
• Open-source models (like Mistral or LLaMA) are improving, but still trail on reasoning and nuance.

Why the AI Arms Race Matters

This isn't just about better chatbots or cooler visuals.

AI Dominance = Global Power
Nations are fighting for model supremacy because whoever controls the best AI controls:

• Surveillance capabilities
• Economic production automation
• Digital influence at scale
• Military tech and cyberwarfare tools
  

For Businesses:

• 91% of Fortune 500 companies are piloting or deploying generative AI as of Q2 2025.
• Startups with embedded AI workflows are raising 2.5x more funding than traditional ones (Y Combinator data).
  

For Developers and Creators:

• AI isn’t replacing jobs. It’s replacing skillsets.
  
• You won’t lose your job to AI, but to a person who knows how to use it better than you.

This race isn’t slowing down. The sooner you build with these tools, the more leverage you’ll have.

Start with better prompts. Then build your own AI workflows. Then teach others.

And when you're ready to deploy these tools across your business?

Email us at [email protected] and we’ll get you AI-optimized.