How to Evaluate the Quality of a Prompt
A practical scoring rubric for prompt engineers who want to move beyond gut feel and build a systematic way to assess, compare, and improve their prompts before running them.
Blog
Thoughts and practical guides on AI, datasets, and monetizing data.
10 Prompt Mistakes You're Probably Making Right Now
The most common errors beginners and experts repeat when prompting AI — and the specific fixes that eliminate them. A practical breakdown with before/after examples.
Prompt Engineering Is Not Dead (Despite What They Say)
Why the 'just talk to it normally' crowd is missing the point. A clear-eyed look at what prompt engineering actually is, why it still matters, and what will and won't be automated away.
Advanced RAG Prompting Strategies
How to get more accurate answers from AI systems connected to your data. Most RAG failures are prompt failures — here's how to fix them.
The Business Case for Prompt Engineering
Why companies are paying $300K/year for prompt engineering skills — and what they're actually building with them.
Prompts That Make AI Admit It Doesn't Know
AI hallucinations aren't random — they're triggered by how you ask. A handful of prompt structures reliably shift the model from confident fabrication to honest uncertainty.
I Tested the Same Prompt on GPT-4, Claude, and Gemini
Ran the same structured prompt on GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro. The results are more nuanced than any benchmark will tell you.
Prompt Chaining: How to Build AI Workflows
Single prompts hit a ceiling. Prompt chaining breaks complex tasks into sequential steps where each output feeds the next — turning a model into a reliable, multi-stage process.
Temperature & Top-P: The Settings That Change Everything
A plain-English guide to the LLM parameters that actually matter — what temperature and top-p do mechanically, how they interact, and how to set them deliberately instead of leaving them at defaults.
What Is a System Prompt (And Why It's the Most Powerful Thing You're Ignoring)
The hidden layer behind every great AI assistant — and why understanding it changes how you interact with every language model you use.
How to Write Prompts for Image Generation
Most image generation problems are prompt problems. A practical breakdown of how Midjourney and DALL-E interpret your text — and how to write prompts that produce exactly what you visualized.
Prompt Engineering for Content Writers
10 prompt templates that replace hours of brainstorming — practical, copy-paste-ready prompts for briefs, outlines, drafts, rewrites, SEO copy, social content, email sequences, and more.
Prompt Injection Attacks Demystified
The dark side of prompt engineering every developer must understand — what prompt injection is, how attackers exploit it, and what you can actually do to defend against it.
Stop Using One-Liner Prompts
Why context is the secret ingredient to better AI outputs — and the specific ways to provide it so the model stops guessing and starts working on your actual problem.
Role Prompting: Give Your AI a Job Title
Why telling ChatGPT 'you are an expert' actually works — and how to do it with enough precision to matter. A practical guide to role prompting and the mechanics behind it.
The RTGO Prompt Framework
Role, Task, Goal, Output — a four-part structure for writing AI prompts that get specific, usable results. A practical guide to the RTGO framework and why each component earns its place.
Chain-of-Thought Prompting Explained
Chain-of-thought prompting forces AI to reason step-by-step rather than jump to conclusions. Here's how it works mechanically, when to use it, and what most tutorials get wrong about it.
Zero-Shot vs Few-Shot Prompting
When should you give an AI model examples, and when should you trust it to figure things out? A practical breakdown of zero-shot and few-shot prompting — what each does mechanically, and how to choose between them.
The Anatomy of a Perfect Prompt
What separates a vague request from a result that actually works. A practical breakdown of every structural element that determines LLM output quality — and how to control each one deliberately.
Stop Treating AI Like Google: The Biggest Prompting Mistake
Why search queries fail with large language models, and how providing context actually works to control probability distributions.
The Honest Beginner's Guide to AI: Skip the Hype, Start Here
What you actually need to know in 2026, explained without jargon. A practical, no-nonsense guide to understanding AI, choosing the right tools, and getting real value from them — starting today.
What Is Retrieval-Augmented Generation (RAG) and Why Does It Matter?
The technique that makes AI actually remember your documents. A practical, non-technical explanation of RAG architecture, when to use it, its real-world applications, and honest limitations.
The Complete Guide to Free AI Tools
10 AI tools I use every day — all completely free. No affiliate links, no sponsored content. Just the tools that actually work.
How AI Is Changing SEO (And What to Do About It)
GEO is the new SEO — here's what that means for your content strategy, why the old rules no longer apply, and exactly how to adapt.
The Hidden Metadata Problem: How Client-Side EXIF Removal Is Reshaping Digital Privacy Practice
An analysis of the privacy risks hidden in digital photo metadata, why standard precautions fail, and how client-side architecture offers a trustless solution for image sanitization.
The Local-First Writing Stack: How Browser-Native Tools Are Redefining the Editing Workflow
An analysis of the structural friction in modern cloud-based writing tools, and how local-first architectures like Markdown Ink return control, privacy, and speed to the individual user.
Secure Image Compression: The Standard for NDA-Compliant Design Workflows
A comprehensive risk analysis of browser-based image optimization. Learn how local-first tools protect client data, eliminate upload latency, and satisfy strict NDA requirements for designers and developers.
Markdown Ink: The Private, Local-First Markdown Editor You've Been Waiting For
Discover Markdown Ink, a distraction-free, privacy-first editor that runs entirely in your browser. Write, preview, and export to PDF without any data leaving your device.
Your Photos Are Leaking Your Location: Meet PrivaLens AI
How invisible metadata puts your privacy at risk, and why our new local-first tool is the safest way to clean your images.
Forecasting AI Economics: Why Token Cost Estimation Has Become a Critical Planning Step
Analyzing the shift from fixed cloud costs to variable token billing, and why systematic cost forecasting is essential for sustainable AI production at scale.
Stop Guessing: How to Accurately Estimate Your AI Costs with Our New LLM Calculator
A deep dive into managing API costs for OpenAI, Anthropic, and Google models, and how our free tool simplifies budget planning.
Why Uploading Images to Compress Them is Dangerous: A Guide to Local-First Tools
Stop uploading client assets to random servers. Learn why local-first image compression is safer, faster, and the new standard for professional web development.
How Dan Koe Uses AI to Build a High-Leverage Content Creation System
A deep dive into Dan Koe's AI-powered content creation workflow - from research to newsletter to multi-platform distribution - and how you can build your own scalable content system with large language models.
2026 Window of Opportunity: Automating Workflows with Skills
A practical guide on how AI systems automate human workflows, why understanding Skills is crucial, and how to leverage AI as an automation assistant rather than just a chat tool.
AI Doesn't Think - It Compresses Human Experience
A clear analysis of what AI systems actually do versus what they appear to do, and why this distinction matters for builders and users.