I’ve been optimizing my AI workflow for tasks that aren’t my core passion (writing) but are necessary to sustain it—marketing, sales, admin, etc. Here’s the system:
- Task Selection: Pick a repeatable task (e.g., drafting outreach emails).
- Expert Sourcing: Find a YT expert or guide who teaches it well.
- Instruction Extraction: Use AI to distill their methodology into step-by-step instructions.
- Context Injection: Add my own examples, edge cases, or domain-specific tweaks.
- Meta-Prompt Creation: Have AI compress everything into a high-agency “employee prompt.”
- Iterate: Test, refine, and reuse. The prompt evolves into a specialist.
Why It Works
- Precision: Leverages proven frameworks but adapts them to my needs.
- Scalability: Once a meta-prompt is battle-tested, it’s a fire-and-forget tool.
- Non-Destructive Automation: For creative work (like writing), AI stays in a research/feedback role. For the “business stack,” it’s a tireless executor.
Dev Angle
Think of it like training a model on a custom dataset: the better the input (expert knowledge + your context), the better the fine-tuned output. No black magic—just structured iteration.
P.S. If you’re into this kind of workflow hacking, I break down more of my experiments in Substack. No fluff, just systems.
