Prompt Engineering Articles
Browse 176 articles about Prompt Engineering.
How to Build an LLM Council: Ensemble AI Agents with Blind Ranking and Synthesis
Learn how to build a multi-model AI council where agents answer independently, rank each other anonymously, and a chairman synthesizes the final answer.
Loop Engineering vs Prompt Engineering: What's the Difference and Which Do You Need?
Loop engineering replaces you as the person who prompts the agent. Learn how it differs from prompt engineering and when each approach makes sense.
Prompt Bloat vs Skill Systems: Why Giant System Prompts Make AI Agents Worse
Stuffing every rule into a system prompt causes agents to lose focus. Learn how modular skill systems solve prompt bloat and reduce the re-explanation tax.
What Is the Slot Machine Method for Claude Code? Why Restarting Beats Correcting
When Claude makes a mistake, arguing makes it worse. The slot machine method says to rewind and re-run instead. Here's why it works and how to do it.
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.
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.