Prompt Engineering Articles
Browse 175 articles about Prompt Engineering.
How to Build a Brainstorm-First AI Workflow: Separate Ideation from Execution
Instead of asking AI for one answer, ask for five options first. This brainstorm-first technique consistently produces better outputs across any AI task.
What Is Analogical Reasoning in AI? Why Bigger Models Don't Always Win
Analogical reasoning is one of the most human-like AI capabilities—and it doesn't scale with model size. Here's what the research shows and why it matters.
How to Use Claude Fable 5 Effort Levels: Low, Medium, High, and Max
Claude Fable 5 has five thinking modes. Learn when to use low vs max effort, why overkill hurts performance, and how to match effort to task complexity.
How to Build Custom Sub-Agents in Claude Code: YAML, Tools, and Triggers
Custom sub-agents in Claude Code are markdown files with YAML front matter. Learn how to write descriptions, set tools, and trigger agents automatically.
How to Use AI for Brand Voice Extraction: Build a Voice Profile in 15 Minutes
Learn how to extract your brand voice using AI interviews, podcast transcripts, and writing samples to create a reusable voice profile for all your content.
How to Build a Body of Work File for Your AI Agent: Extract Your Core Ideas
A body of work file captures your 7–12 foundational concepts so AI agents generate content anchored to your real opinions—not generic takes on your topic.
How to Build a Brand Voice Profile for AI: Extract Your Voice in 15 Minutes
Learn how to create a brand voice file that makes every AI output sound like you—using skills, interviews, and real content samples.
What Is the Slot Machine Method for AI Agents? Why Restarting Beats Correcting
Anthropic's own teams restart Claude sessions instead of correcting drift. Learn why this approach produces better results and how to apply it.
What Is Multi-Tier On-Policy Distillation? How NVIDIA Trained Nemotron 3 Ultra
NVIDIA used multi-tier on-policy distillation to train Nemotron 3 Ultra. Learn how this technique produces stronger models than single-task training.
What Is Claude Opus 4.8 Overthinking? Why Max Mode Can Hurt Performance
Claude Opus 4.8 sometimes overthinks on constitutional questions in max mode, reducing effectiveness. Here's what it means and when to use high vs max.
What Is Backpropagation? The Algorithm That Made Modern AI Agents Possible
Backpropagation solved the multi-layer neural network training problem in 1986. Learn how this algorithm underpins every LLM and AI agent today.
How to Use Claude Code Effort Levels: Low, Medium, High, Max, and Ultra Code
Claude Opus 4.8 adds five effort levels. Learn when to use each, how effort affects token spend, and why matching effort to task complexity changes everything.
How to Use AI for Agentic Context Management: Folder Structures, Rules, and Injection
Effective AI agent context management uses markdown files in folders with rules for when to load them. Learn the architecture that keeps agents on-brand.
Claude Opus 4.8 Effort Levels Explained: Low, Medium, High, Max, and Ultra Code
Claude Opus 4.8 introduces five effort levels that change how deeply the model reasons. Learn which level to use for each type of task.
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 Jagged Intelligence? Why AI Is Superhuman at Some Tasks and Terrible at Others
Jagged intelligence describes how AI models excel at some tasks while failing unexpectedly at others. Learn what this means for deploying AI agents safely.
How to Use Google Gemini Omni for Storyboard-Driven Video Creation
Google Gemini Omni lets you direct video scenes using image storyboards and timestamp prompts. Learn how to control camera angles, terrain, and character swaps.
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.