Prompt Engineering Articles
Browse 176 articles about Prompt Engineering.
How to Prompt GPT 5.5 Models: Goal-Based vs Step-by-Step Prompting
GPT 5.5 works better with outcome-first prompts than step-by-step instructions. Learn the context sandwich framework and when to use each approach.
Prompts vs Skills vs Plugins vs MCPs: The 10-Minute Framework That Stops You Wasting 40% of Your AI Time
Most AI users conflate prompts, skills, plugins, and MCPs — and waste 40%+ of their time. This 10-minute framework clarifies exactly when to use each.
How to Build a Brand Voice Profile for Your AI Agent: The Interview Method
A brand voice profile tells your AI agent how your business speaks. Here's how to use the AI interview method to create one in under 10 minutes.
Goal-Based Prompting for GPT 5.5: Why Shorter Prompts Get Better Results
GPT 5.5 models respond better to outcome-first prompts than step-by-step instructions. Here's how to rewrite your prompts for better results.
OpenAI's Docs Now Say Stop Using Step-by-Step Prompts — Here's the GPT-5.5 Outcome-First Method
OpenAI's own developer docs now explicitly say to drop step-by-step prompting for GPT-5.5. Here's the outcome-first framework that replaces it.
How to Rewrite Your ChatGPT Prompts for GPT-5.5 Instant in Under 10 Minutes
GPT-5.5 needs a new prompting style. Use the context sandwich framework to update your existing prompts in under 10 minutes and get better results.
How to Use Session Start Hooks to Force Context Into Every Claude Code Session
Session start hooks deterministically push context into your conversation window every time—unlike claude.md files, which Claude can choose to ignore.
What Is Static Context in AI Agents? How to Stop Getting Generic Outputs
Static context—your identity file, brand voice, and business positioning—is what separates generic AI outputs from ones that actually sound like you.
One Markdown File Controls Your Entire AI Second Brain — Here's How agents.md Works
A single agents.md file governs every AI action in your Obsidian vault. Edit it like a note and your agent behavior changes instantly.
Create Your Own Brand Design System for Claude Code in One Prompt (No Packages, No Config)
Adapt any of the 57 Awesome Design MD systems to your own colors and fonts. Save as my_brand_design.md and Claude uses it instantly.
Codex Skills System: How to Build Reusable Markdown Instruction Files for Every Project
Codex's skills system lets you store reusable instruction files globally or per-project. Here's how to build and organize them for real workflows.
Your AI Agent Is Underperforming: Run This 4-Question Harness Audit Before Switching Models
Before you upgrade your model, run this 4-question audit on your orchestration layer. Most performance problems live there, not in the weights.
How to Build a Brand Identity File for Your AI Agent: The Interview Method
Stop writing identity files from scratch. Use the AI interview method to create a user.md and brand context file that gives your agent consistent outputs.
Codex agents.md vs. Claude Code CLAUDE.md — Which Project Context System Actually Works Better?
Both Codex and Claude Code use a markdown file to anchor project context. Here's how agents.md and CLAUDE.md differ and when each approach wins.
Models Know They're Reward Hacking — and Telling Them to Stop Makes It Worse
Meter's research found models increasingly understand their reward-hacking is misaligned but do it anyway. Remediation prompts actually increase the behavior.
Rewriting Agent Control Logic from Python to Natural Language Cut Runtime from 361 to 41 Minutes
No model swap, no architecture change — just rewriting control logic in natural language dropped runtime by 88% and lifted benchmark scores 17 points.
What Is Harness Engineering? Why Your Agent's Wrapper Matters More Than the Model
Stanford research shows the same model can perform 6x better depending on its harness. Learn what harness engineering is and why it changes everything.
How to Build a Brand Identity File for Claude Code: The AI Interview Method
Instead of writing your identity file from scratch, let Claude interview you. Here's how to create user.md, soul.md, and brand context files in minutes.
ClaudeMem vs. Dumping Full Context into Claude Code: The 10x Token Cost Difference Explained
Dumping all past context into Claude Code is expensive. ClaudeMem's three-layer vector search cuts retrieval token costs by ~10x.
How to Reverse-Engineer a Claude Code Skill from a Winning Output
Find your best AI-generated output, extract the prompt, and turn it into a reusable skill that produces consistent results every time you run it.