Glossary

Key terms used throughout the playbook, in alphabetical order.

Term	Definition
Agent	An AI system given a specific role, scope, and set of instructions to perform a defined task. In this playbook, "agent" can mean a simple role-prompted AI chat or a more sophisticated autonomous AI system.
Archetype	A learning style profile that describes how you naturally approach new skills. The four archetypes in this playbook (Tinkerer, Planner, Strategist, Social Learner) are derived from AI Skills Quiz results.
Cross-Domain Reframing	The skill of borrowing AI techniques, frameworks, or prompting patterns from one field and adapting them to work in another. One of the five pillars of AI fluency.
Ethical Prompting	The practice of using AI responsibly: verifying outputs, checking for errors, considering audience impact, and maintaining appropriate human judgment. One of the five pillars of AI fluency.
Fluency	In this playbook, fluency means practical proficiency with AI — the ability to use AI tools effectively, critically, and ethically across different contexts. Not just knowing what AI can do, but being skilled at making it work well.
Handoff	The point where output from one AI session or agent becomes input for the next. Managing handoffs — what information to pass, what to leave out, and how to structure the transfer — is a core agent collaboration skill.
Insight Synthesis	The skill of extracting structured, actionable meaning from AI-generated content — distinguishing signal from noise, triangulating across multiple outputs, and forming your own judgment. One of the five pillars of AI fluency.
Multi-Agent System	A setup where multiple AI agents (each with different roles and contexts) work on parts of the same problem, with outputs coordinated by a human or automated orchestrator.
Pathway	A guided route through the playbook's exercises, curated for a specific quiz result profile. Pathways recommend which exercises to do, in what order, based on your strengths and gaps.
Pillar	One of five core skill areas that make up AI fluency: Insight Synthesis, Workflow Automation, Cross-Domain Reframing, Agent Collaboration, and Ethical Prompting & Judgment.
Prompt Chain	A sequence of AI prompts where each step's output feeds into the next step's input. The simplest form of an AI workflow.
Quality Gate	A checkpoint in an AI workflow where output is evaluated before proceeding to the next step. Prevents errors from propagating through a pipeline.
Tokenization	The process by which AI models break text into smaller chunks called tokens before processing. Tokens can be whole words, parts of words, or punctuation. For example, "tokenization" might become "token" + "ization." Token counts determine input/output limits in AI tools. See How AI Actually Works for more context.

| Workflow Automation | The skill of turning repeatable tasks into systematic AI processes — from reusable prompt templates to multi-step pipelines with quality gates. One of the five pillars of AI fluency. |