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Design custom AI workflows for your specific role and recurring tasks — turning AI tools into a personal productivity system.
Read through the lesson, mark it complete when the concept is clear, then move to the next lesson in the sequence or jump back to the module map.
Individual AI tools are powerful. But a connected system of tools — each handling what it does best, with outputs flowing into the next step — multiplies productivity. This lesson is about designing that system for your specific work.
Start by listing your top 10 most time-consuming recurring tasks. For each one, ask:
Manual process: 3 hours/week browsing competitor sites, news, LinkedIn.
AI workflow:
Result: 10 minutes of review vs 3 hours of research.
Manual process: 4 hours per proposal.
AI workflow:
Result: 1.5 hours vs 4 hours, better consistency.
n8n — Open-source workflow automation. Connect any API. Best for developers.
Make (formerly Integromat) — Visual workflow builder. Best for non-coders.
Zapier — Easiest to start with, most integrations, highest cost at scale.
Don't try to automate everything at once. Pick the single highest-leverage recurring task, automate it, and learn from that experience. Then automate the next one.
After 6 months of this approach, you'll have a custom productivity system that compounds — each automated workflow gives you more time to build the next one.
For each potential workflow:
Build automations with under 3 month break-even first. This creates a habit and demonstrates ROI before investing in more complex systems.