I stopped collecting AI prompts and started turning them into repeatable workflows
For a long time, my “AI workflow” was basically a mess of saved prompts, bookmarks, notes, screenshots and random documents.
I kept finding useful ideas, but when I actually needed to get something done, I still had to search through everything again.
So I tried a different approach: instead of collecting more prompts, I started turning the useful ones into small repeatable workflows.
For example:
- SEO content research → outline → first draft → editing checklist
- Competitor research → data collection → comparison → summary
- Landing page copy → positioning → headline ideas → CTA variations
- Content repurposing → long-form article → short posts → video ideas
- Business planning → research → assumptions → structured plan
Eventually I organized the workflows I was actually using into around 20 practical playbooks.
The biggest thing I learned is that the prompt itself usually isn't the valuable part.
The useful part is knowing:
what information to give the AI, what order to do things in, what needs human judgment, and how to check the final output.
A brilliant prompt without a process around it often just creates another piece of text you still have to figure out what to do with.
I'm curious how other people here work.
Do you keep a library of prompts, or have you started building repeatable AI workflows for specific tasks?
And if you had to turn one AI task you do repeatedly into a step-by-step workflow, what would it be?