Build Your AI-Powered Work System
Apply everything from Level 2. In ~90 minutes you'll have a complete AI workflow that transforms how you work every day.
What You've Mastered
Seven high-impact skills from Level 2. Now you'll weave them into a single system.
🔍 Deep Research
Synthesize hours of research in minutes. Find signal in noise.
✓ Complete✍️ AI Writing
Draft faster, edit sharper, match any tone or format.
✓ Complete📊 Data Analysis
Understand what your data says without being a statistician.
✓ Complete🧭 Strategy
Think through complex decisions and spot blind spots.
✓ Complete🧠 Claude Projects
Persistent AI workspaces with your context and files.
✓ Complete⚙️ Automation
Offload repetitive work to AI-powered workflows.
✓ Complete🗂️ AI OS
Daily habits and a prompt library that compounds over time.
✓ CompleteChoose Your Capstone Track
Pick ONE track that fits your work. Each takes ~90 minutes and produces something real you'll use every week.
Track A: The Knowledge Worker
Build a complete research-to-report pipeline for a real topic in your field.
End result: A research brief + written report + one automation to keep it updated weekly.
Track B: The Team Leader
Build a manager's AI system: a Claude Project for team comms + 3 automations + a team guide.
End result: A documented AI system your team can actually use.
Track C: The Specialist
Go deep on your profession. Build a Claude Project with full professional context, 10 saved prompts, and one automation that saves 2+ hours/week.
End result: A personalized AI expert who knows your exact work.
Track D: The Builder
Create a "mini AI product" — a documented prompt chain that solves a specific problem, written as an SOP you could hand to a colleague.
End result: A shareable, reusable AI workflow with a live demo.
Track Instructions
Track A: The Knowledge Worker Pipeline
Research → Analyze → Report → Automate
- Choose a real topic relevant to your work that you'd normally spend hours researching.
- Run the Research Sprint prompt (below). Get 8–10 synthesized sources in 15 minutes.
- Paste the research output back into Claude and ask it to identify the 3 key themes.
- Ask Claude to write a 500-word executive brief using those themes.
- Run the Data Analysis prompt if you have any relevant numbers or trends.
- Ask Claude to write one slide's worth of key takeaways in bullet form.
- Set up a Zapier automation: weekly trigger → Claude generates an update on your topic → emailed to you.
- Review the full output. Edit what needs editing. Save the best prompts to your library.
Track B: The Team Leader System
Manager AI System in 90 Minutes
- Identify the #1 task that eats your team's time every week (e.g., status reports, meeting prep, emails).
- Create a Claude Project. Write a system prompt for your role as a manager (use the template from Lesson 16).
- Upload your team's most-used template, style guide, or SOP document.
- Build Automation 1: Email summarizer — new emails from key stakeholders → Claude brief → Slack.
- Build Automation 2: Meeting prep — 30 min before a meeting → Claude drafts agenda + talking points → sent to you.
- Build Automation 3: Status report — every Friday 4pm → Claude generates weekly summary → Google Doc.
- Create a 1-page "AI Starter Guide" for your team: 5 prompts, how to access Claude, what it's useful for.
- Demo one workflow live to your team. Measure: how long does it take now vs. before?
Track C: The Specialist Build
Your Professional AI Expert
- List the top 5 tasks in your profession that take the most time and follow a repeatable pattern.
- Create a Claude Project. Write a detailed system prompt with your professional context, constraints, and standards.
- Upload 2–3 reference documents: your professional guidelines, templates, or past high-quality work.
- Write and test 10 prompts — 2 for each of your top 5 tasks. Save them to your prompt library.
- Identify the one task that is most repetitive and most automatable.
- Build one automation in Zapier or Make that handles that task with minimal input from you.
- Run a full "day in the life" test: use your Project for everything you do today.
- Measure: how many hours did your AI system save you? Document this.
Track D: The Builder
Build a Shareable AI Workflow
- Identify one specific problem in your organization that AI could solve — something others face too.
- Design a 3–5 step prompt chain: each step takes the output of the previous one as input.
- Test every step with real data. Iterate until each step produces reliable output.
- Document it as a 1-page SOP: Problem → Steps → Prompts → Expected Output → Common Issues.
- Record a short demo (Loom or screen recording) showing the full workflow in action.
- Share it with one colleague. Have them try it without your help. Note where they get stuck.
- Refine based on their feedback. Fix the gaps.
- Submit: your SOP doc + demo link + a 2-paragraph explanation of the time saved.
Reflection Questions
Answer these in writing before marking the capstone complete. Honest answers = better outcomes.
What's the one workflow you built that now saves you the most time? Be specific.
What was harder than expected? What was surprisingly easy?
What AI workflow would you build next — if you had one more week?
How would you explain AI's role in your work to a skeptical colleague in 2 sentences?
What's your biggest remaining question about AI after completing Level 2?
Level 3: Advanced AI Engineering
You've mastered using AI. Level 3 is about building with it. Go from power user to AI architect.
Level 3 launches soon. Complete the capstone to get early access.