Prompt Engineering Patterns
How to actually write prompts that work — system prompts, chain-of-thought, few-shot, Anthropic's workflow patterns, prompt evaluation harnesses like Skills 2.0.
How to Prompt Claude Opus 4.8 Differently: Tell It What to Do, Not What to Avoid
Claude Opus 4.8 responds better to positive instructions with context than to negative constraints. Learn the prompting shift that improves output quality.
What Is the Hostile Reviewer Prompt? How to Catch AI Document Errors Before They Ship
The hostile reviewer prompt makes AI act as a skeptical auditor of its own output. Learn the exact prompt and how to use it in a RALF loop for knowledge work.
How to Prevent AI Hallucinations in Agentic Workflows: The Data Room Method
Sullivan & Cromwell's AI citation failure shows why prompts alone can't prevent hallucinations. Learn the data room approach that structurally prevents them.
How to Build a Source Inventory for AI Agent Workflows: The Anti-Hallucination Pattern
Before asking an AI to write anything, build a source inventory. Learn how this structured artifact prevents hallucinations in high-stakes knowledge work.
The AI Question Method: How to Prompt Claude Like a Senior Partner, Not a Junior Employee
Prompt engineering is table stakes. Learn the AI Question Method—three principles for getting 90% quality outputs from Claude Opus 4.7 and GPT 5.5.
How to Build a Voice Profile for Your AI Agent: The Claude Co-work Interview Method
Use Claude Co-work's voice profile skill to extract your writing patterns from LinkedIn posts and emails and generate a reusable voice profile markdown file.
What Is Context Engineering? Why It Matters More Than Prompt Engineering for Agents
Context engineering—building the right environment for AI agents—drives better results than prompt crafting alone. Here's how to apply it to your workflows.
What Is Context Engineering? Why It Matters More Than Prompt Engineering
Context engineering is about building the right environment for AI models, not writing perfect prompts. Here's how to apply it to your workflows.
Mega Skills vs Modular Skills in Claude Code: Why Architecture Matters
Building one giant skill for end-to-end workflows kills reusability and quality. Here's the modular skill system pattern that scales across multiple pipelines.
How to Build Modular Claude Skills That Chain Into Skill Systems
Isolated skills and mega-skills both fail at scale. Learn the orchestrator-plus-child-skills pattern that makes Claude OS compound in value over time.
What Is Progressive Disclosure in AI Agent Design? How Skills Load Context Efficiently
Progressive disclosure means loading only the context a skill needs at each step. Learn why this pattern prevents quality drops in complex Claude workflows.
What Is the /goal Command in Claude Code? Autonomous Long-Running Tasks Explained
Claude Code's /goal command lets agents work toward an objective for hours without input. Learn how it works, when to use it, and how to prompt it well.
What Is Goal-Based Prompting? How GPT 5.5 Models Work Best
GPT 5.5 models respond better to outcome-first prompts than step-by-step instructions. Learn the goal-based prompting approach and how to apply it.
Hooks vs. Skills in Codex Plugins: Why Deterministic Checks Should Never Be Left to the Model
Hooks run formatters and validators deterministically. Skills let the model reason. Mixing them up is the most common agentic workflow mistake in Codex plugins.
How to Prompt GPT 5.5 Models: Outcome-First vs Step-by-Step Prompting
GPT 5.5 models respond better to goal-based prompts than step-by-step instructions. Here's how to rewrite your prompts for better results.
How to Write a Codex /goal Prompt That Actually Works: The Meta-Prompting Technique in 5 Minutes
Writing a good /goal prompt for Codex is harder than it looks. This meta-prompting technique uses another AI to generate your /goal prompt — and it works.
Codex /goal: OpenAI's 'Ralph Loop' Feature That Ran a Device Driver Project for 14 Hours Without Stopping
Codex's /goal feature keeps a task alive across turns until complete — one user ran it on a device driver project for 14 hours overnight. Here's how it works.
GPT-5.5 Instant's 'Context Sandwich' Prompt Format: Why Your Old Step-by-Step Prompts Now Hurt Performance
OpenAI's own docs now recommend outcome-first 'context sandwich' prompts for GPT-5.5. Your old step-by-step prompts may be actively hurting results.
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.
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.
How to Keep Up with Anthropic's Release Velocity: A Practical Guide for Claude Builders
Anthropic shipped 4 major models and 12 feature drops in 10 weeks. Here's a practical system for Claude builders to track changes without drowning.
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.
Alex Finn Built a Full Video Game in 1 Hour Using Codex's /goal Command — Here's How
Alex Finn used Codex's /goal agentic loop to build a complete extraction shooter with auto-generated assets in under an hour. The exact workflow.