The real leverage is turning your workflows into reusable AI systems.
I’ve been experimenting with this for Google Ads:
→ upload campaign exports
→ Claude analyzes the account
→ the “skill” applies a structured audit framework
→ you get recommendations, insights, and next actions in minutes
Not direct Google Ads automation.
More like an AI strategist trained on your process.
The interesting part is that you can build specialized skills for almost anything:
• account audits
• keyword research
• RSA generation
• landing page reviews
• scaling plans
• search term analysis
• performance diagnostics
Once the workflow is structured correctly, Claude stops feeling like a generic assistant and starts feeling like a reusable operator.
This is probably where AI workflows are heading:
not replacing experts but packaging expertise into systems.
Visual breakdown below 👇
* Make sure your client, you, or your boss agrees on uploading data into an LLM.
