Editing What We Mean by AI Fluency (section)

== Five dimensions of fluency ==

We've broken AI fluency into five concrete capabilities. These aren't abstract categories — they're things you ''do'':

| Pillar || What it means || What it looks like

| '''[[Insight Synthesis|| Insight Synthesis]]''' || Extracting meaning from noise || You use AI to surface patterns across 50 customer feedback entries, then apply your domain knowledge to decide what actually matters
| '''[[Workflow Automation|| Workflow Automation]]''' || Designing AI-augmented processes || You've identified the 3 tasks you do weekly that don't need your brain, and you've automated 2 of them
| '''[[Cross-Domain Reframing|| Cross-Domain Reframing]]''' || Bridging perspectives and adapting ideas || You translate a technical AI recommendation into language your finance team can evaluate and act on
| '''[[Agent Collaboration|| Agent Collaboration]]''' || Working alongside AI with clear roles || You've set up AI as a persistent collaborator that knows your work context, not a blank chatbot you re-explain things to every time
| '''[[Pillars/Ethical Prompting || Ethical Prompting & Judgment]]''' || Responsible, transparent, critical use || You can explain to a stakeholder why you trusted an AI output in one case and overrode it in another

These aren't separate skills you learn in sequence. They overlap and reinforce each other. Every real AI-fluent action involves two or three of these at once. When you use AI to synthesize research (Insight Synthesis), reframe it for a different audience (Cross-Domain Reframing), and verify its claims before publishing (Ethical Prompting) — that's fluency in action.

=== How this connects to other frameworks ===

We didn't invent the idea of AI fluency. The 4D framework — Delegation, Description, Discernment, Diligence — developed by Prof. Joseph Feller and Prof. Rick Dakan and taught in [https://anthropic.skilljar.com/ai-fluency-framework-foundations Anthropic's free AI Fluency course] covers similar territory from an academic foundations angle. UNESCO's AI competency frameworks and HR competency models that now include AI fluency alongside data literacy echo the same patterns.

The convergence is telling: across different frameworks, effective AI use requires both practical capability ''and'' judgment. Our five pillars are one way to organize that — designed specifically for generalists who need to practice, not just understand.

A rough mapping:
* '''Delegation''' (deciding what to hand to AI) ↔ Agent Collaboration & Workflow Automation
* '''Description''' (communicating clearly with AI) ↔ Insight Synthesis & Cross-Domain Reframing
* '''Discernment & Diligence''' (evaluating and verifying) ↔ Ethical Prompting & Judgment

If you want the academic foundations, take Anthropic's free course — it's excellent. This playbook picks up where courses leave off: it's where you ''practice'' fluency in your actual work.