How I’ve Been Using AI as a Force Multiplier

posted 1 min read

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:

  1. Task Selection: Pick a repeatable task (e.g., drafting outreach emails).
  2. Expert Sourcing: Find a YT expert or guide who teaches it well.
  3. Instruction Extraction: Use AI to distill their methodology into step-by-step instructions.
  4. Context Injection: Add my own examples, edge cases, or domain-specific tweaks.
  5. Meta-Prompt Creation: Have AI compress everything into a high-agency “employee prompt.”
  6. 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.


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