
Prompts Lab
Reverse-engineer AI art styles and optimize prompts
As I continue building Promptslab, I've been thinking a lot about the "boring" parts of SEO.
Specifically: Alt Text.
We all know we should write it for accessibility and SEO, but most of us (including me) often skip it because it's tedious.
Before automating this with AI, I wanted to understand the "First Principles" of Alt Text. I spent days researching best practices from Google, Moz, and W3C.
I compiled everything into "A Simple Guide to Alt Text".
It covers the basics:
Why it actually matters (beyond just ranking).
How to write it correctly (without keyword stuffing).
The difference between "decorative" and "informative" images.
This is the first step in my journey to make SEO image optimization easier for everyone.
👉 Read the full guide on Medium: A Simple Guide of Alt Text
I'm building this in public, so let me know: Do you write Alt Text for every single image on your blog?
I started building Prompt Lab because I was frustrated with my own "prompt hoarding" habit. I had a Notion file full of prompts copied from Twitter, but whenever I tried to use them on different models (like the new Nano Banana or Flux), they failed miserably.
I realized that "collecting" prompts is useless if you don't understand the underlying structure. I built the Image-to-Prompt tool initially just to debug my own failed generations—to see what the AI "saw" in the reference images I liked.
Once I got the reverse-engineering working, I realized I could automate the "translation" layer too. That became the Prompt Optimizer. It's been a classic "scratch your own itch" journey.
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Copying prompts failed me on Flux. I realized I needed to understand the 'visual ingredients,' not just the text.I built Prompt Lab to reverse-engineer images into model-specific syntax—helping creators master the logic.

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