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@ Andrew G. Stanton
2025-05-20 22:15:45I didn’t take a course on “prompt engineering.” I didn’t memorize secret formulas or chase viral hacks.
What I did do was treat it like a system.
Just like in software:
Write → Compile → Test → Debug → Repeat
With AI, the loop feels just as familiar:
Prompt → Output → Edit → Re-prompt
That’s not magic. That’s engineering.
When someone asked me, “How can you trust AI for anything serious?”\ I told them: “Same way we trust the internet — not because the network’s reliable, but because the protocol is.”
AI is no different. The key is building systems around it:
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Multiple models if needed
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Human-in-the-loop verification
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Layered editing and real discernment
It’s Not That Different From Other Engineering
Once you stop treating AI like a black box and start treating it like a tool, the whole experience changes.
The prompt isn’t a spell. It’s a spec.\ The response isn’t a prophecy. It’s a build.\ And your discernment? That’s your QA layer.
What I Actually Use It For
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Brainstorming titles and refining headlines
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Drafting posts that I shape and filter
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Running content through for edge cases
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Exploring theological or philosophical questions
And yes — I want it to be useful. I am building to make a living, not just to make noise. But I don’t lead with monetization. I lead with clarity — and build toward sustainability.
Final Thought
If you’re waiting for a course to teach you how to “do AI,” maybe just start by building something real. Test it. Edit it. Use it again. That’s engineering.
Shoutout to Dr. C (ChatGPT) for helping me articulate this.
If this post sparked anything for you, zap a few sats ⚡ — every bit helps me keep building with conviction.
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