Prompt Engineering
From anatomy of a prompt to production deployment. Master the craft of communicating with AI.
Anatomy of a Prompt
Understand the structural components of any prompt and how each part influences output.
System Prompts: Persistent Behavior Design
Design system prompts that define consistent AI personas, constraints, and output standards.
Few-Shot Learning
Use examples to steer model behavior without fine-tuning. The most underrated prompting technique.
Chain of Thought
Improve reasoning quality by prompting models to think step-by-step before answering.
Temperature and Sampling Parameters
Control creativity vs determinism with temperature, top-p, and other sampling parameters.
Output Formatting Techniques
Reliably extract structured data — JSON, tables, lists — from AI responses.
Persona Design for AI Products
Build consistent AI personalities that delight users and reinforce your brand.
Iterative Refinement
A systematic method for improving prompts from first draft to production-grade.
Prompt Evaluation
Build evals to measure prompt quality systematically — before and after every change.
Production Deployment
Harden prompts for production: caching, rate limiting, fallbacks, and monitoring.