Five Pillars
AI fluency isn't one skill — it's a combination of five. We call them **pillars** because each one supports the others. You don't need to master all five at once, but understanding them helps you see where you're strong and where you can grow.
These pillars emerged from research and community data gathered through the [AI Skills Quiz](https://aiskillsquiz.com). Each one represents a distinct way of working with AI.
## The Pillars at a Glance
| Pillar | What It Means | Community Avg |
|--------|--------------|:------------:|
| [Insight Synthesis](/pillars/insight-synthesis/) | Extracting meaning and patterns from AI output | 64% |
| [Workflow Automation](/pillars/workflow-automation/) | Building repeatable AI-assisted processes | 65% |
| [Cross-Domain Reframing](/pillars/cross-domain-reframing/) | Transferring AI techniques across different fields | 67% |
| [Ethical Prompting](/pillars/ethical-prompting/) | Responsible AI use, verification, and judgment | 75% |
| [Agent Collaboration
Agent Collaboration
Working effectively with AI agents and multi-agent systems. This pillar covers giving AI defined ...
Cross-Domain Reframing
Applying AI thinking and techniques across different contexts, industries, and disciplines. This ...
Ethical Prompting & Judgment
Responsible AI use, verification, and critical thinking. This pillar covers knowing when to trust...
Insight Synthesis
Extracting meaning, patterns, and actionable insights from AI-generated output. This pillar is ab...
Workflow Automation
Building repeatable, AI-assisted processes that save time and reduce manual effort. This pillar f...