🔥 Level 4 of 4

AI Advanced

"I've gone deep — in strategy, building, or both."

What this level looks like

You've moved beyond daily AI usage into genuinely advanced territory. What that looks like varies — some people go deep on strategy (thinking about how AI reshapes teams, business models, and competitive dynamics), others go deep on building (creating automations, applications, or tools with AI), and some do both. What unites everyone at this level is that AI hasn't just changed *how* you work — it's changed *what's possible*. You demonstrate true proficiency because you master precise prompting, apply rigorous critical thinking to verify outputs, and know exactly where AI enhances—or hinders—your specific workflow. You design custom workflows, build reusable systems, or rethink what your role or organization can achieve. You understand that persistent, shared context—not prompt hacking—is the ultimate unlock. Every system you build gets smarter over time.

Two paths, not a sequence

At this level, people specialize. The quiz detects which direction you lean — but both paths are equally advanced.

🎯

Strategist

Your advanced skills lean toward strategy — you think about AI at the systems level for your team and business. You evaluate tools for team deployment, consider governance and data management, and see the bigger picture of how AI reshapes competitive dynamics.

🔧

Builder

Your advanced skills lean toward building — you create things with AI. Whether you write code with AI assistance, build automations, or create tools for your team, you're in the creative act of making something new. The "vibe coder" building apps with Lovable is just as much a builder as the developer using Claude Code.

What to do next

✓ Build a Company AI OS for your team — structured knowledge that makes AI smarter about your specific context
✓ Set up automated workflow captures (e.g., using n8n) so that daily insights and decisions are logged into your knowledge repository without manual effort
✓ Define a self-correcting flywheel for your AI systems: track knowledge gaps, schedule freshness reviews, and document divergences

Recommended guides

The Anthropic Ecosystem: A Complete Guide to Claude's Products and Models

Everything you need to know about Anthropic's Claude — from the model family (Haiku, Sonnet, Opus) to the web app, connectors, Claude Code, and Claude Cowork. A practical guide from someone who uses these tools daily.

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Giving Everyone Copilot Isn't an AI Strategy

Most companies treat AI like a software rollout. Buy licenses, run a training, move on. That's not a strategy — it's a purchase order. Here's what actually works.

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How We Built an AI That Knows Our Company

Individual AI tools only scratch the surface. At Carewell, we built a shared knowledge system that gives AI permanent memory about our business — and it gets smarter every day. Here's the practical blueprint.

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Code vs. Automation vs. AI: Picking the Right Tool for Each Job

Not everything needs AI. Not everything needs custom code. Here's the framework I use to decide what goes where — and why getting this wrong wastes more time than not using AI at all.

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