Prompts I've created
& tested
Real, production-tested prompts for IT automation, cloud engineering, endpoint management, and AI workflows — covering ChatGPT, Gemini, Copilot, and Claude.
Techniques covered
Featured Prompts
My most popular and most-tested prompt guides.
From Prompt Engineering to Context Engineering
The field stopped asking 'what prompt should I write' and started asking 'what should the model know at the moment it decides.' Same eighteen posts, one honest rename.
Prompt vs Context vs RAG vs Fine-Tuning: What Should You Use?
Six different problems get mistaken for each other constantly, and each one has a specific, usually cheaper fix than the one people reach for first.
The Prompt Is Not the Product: Designing the Complete LLM Application
A perfect prompt run with no context, no memory, no evaluation, and no guardrails still fails in production, for reasons that have nothing to do with its wording.
Prompt Engineering for PowerShell: From Natural Language to Safe Automation
AI can write you a working PowerShell script in seconds. Whether it's safe to run against your tenant is a completely separate question, with its own workflow.
Prompt Engineering for Coding: Getting AI to Produce Reliable Code
Not another list of coding prompts. The actual engineering loop, requirement through revision, that decides whether AI-generated code survives contact with a real codebase.
Prompt Engineering for RAG: How Should You Prompt an AI That Has Retrieved Documents?
Retrieval can hand the model the exact right document and still get a wrong answer, if the prompt around that document doesn't do its half of the job.
Prompt Engineering for Tool Calling: How to Make AI Use APIs Correctly
A tool description is a prompt the model reads to decide whether to use it at all. Get that wrong and no amount of clever wording elsewhere fixes it.
System Prompt vs User Prompt vs Context: Who Controls the AI?
Every AI response is assembled from up to seven layers, written by different parties with different trust levels. Here's what each one actually controls.
Prompt Injection: When the Input Starts Controlling the AI
Not every piece of text you paste into a prompt is safe to treat as an instruction. Where that trust breaks down, and how to structure a prompt so it doesn't.
Prompt Versioning: Treat Prompts Like Code
A prompt edited live in a vendor dashboard has no history, no diff, and no way back. Git, change history, and rollback fix all three.
Prompt Evaluation: How Do You Know If Your Prompt Is Actually Good?
Reading one better-looking answer isn't evaluation. A real testing framework compares prompt versions against a fixed dataset, with real, repeatable metrics.
The Anatomy of a Good AI Prompt
Six ingredients, combined into one prompt, that work for almost any task. Not another list of prompts to copy, the actual structure they're all built from.
How to Make AI Follow a Specific Output Format
Asking for 'a table' or 'JSON' isn't a format specification, it's a suggestion. Here's what actually gets consistent, parseable output every time.
Long Prompts vs Short Prompts: Does More Context Actually Help?
Three versions of the same request, short and vague, long and structured, and long with real information, tested against each other instead of argued about.
Prompt Chaining: Breaking One Difficult Task Into Multiple AI Steps
One giant prompt asks a model to research, analyse, validate, and generate all at once, with no chance to catch a mistake before it reaches the final answer. Chaining fixes that.
Prompt Engineering Explained: Why Some AI Prompts Work Better Than Others
The AI didn't get worse. The prompt was vague. Here's the actual difference between a request that gets a generic answer and one that gets a genuinely useful one.
Prompt Templates: Stop Writing the Same Prompt Again and Again
Six ingredients, written once as a template with variables, instead of retyped from memory every time. This is where prompt engineering starts becoming engineering.
Why Context Matters More Than Clever Prompts
No magic phrase can supply a fact the model was never given. The real lever most people underuse isn't wording, it's what information actually reaches the model.
Zero-Shot vs Few-Shot Prompting: When Should You Give AI Examples?
Examples aren't free, they cost tokens and effort to write. Here's the actual decision behind when that cost is worth it, and when it just adds noise.
10 ChatGPT Prompts Every IT Admin Should Bookmark
Stop writing AI prompts from scratch every time. These 10 ready-to-use prompts cover the most common IT admin tasks: from writing PowerShell scripts and troubleshooting Azure errors to drafting incident reports and explaining policies to non-technical stakeholders.
The Prompt I Use to Write PowerShell Scripts with ChatGPT (And Why It Works)
Most people ask ChatGPT to write PowerShell the wrong way and get generic, untested code. This guide shows the exact prompt structure I use to get production-quality scripts first time, including the four elements that make the difference.
All Prompt Guides
Every prompt article — copy, test, adapt for your workflow.
Gemini vs ChatGPT vs Copilot: Which AI is Best for IT Admin Tasks?
Three major AI tools, one IT admin, and months of real testing. This is an honest comparison of ChatGPT, Google Gemini, and Microsoft Copilot for the tasks IT professionals actually do: scripting, troubleshooting, documentation, and more.
System Prompts Explained: How to Give AI a Permanent Expert Identity
A system prompt is the single biggest upgrade you can make to your AI setup. It tells the AI who it is, how to behave, and what to focus on, before you even ask a question. Here is how to write one that transforms your results.
Test on real tasks
Every prompt is tested on actual IT / cloud / automation tasks — not synthetic examples. If it doesn't work in production, it doesn't get published.
Iterate and refine
I run multiple variations, compare outputs, and document what made the difference — so you can adapt the prompt to your own context.
Copy-ready format
Each guide includes a ready-to-copy prompt block, a sample output, and notes on which AI platforms it works best on.
Keep exploring
AI & Innovation articles
Copilot, LLMs, AI-powered automation — deeper technical guides in the AI section.