Why tie yourself to one AI model? Every model has blind spots. Claude misses thi
By Andrewbailiff Β· November 14, 2026 Β· Curated by George's Blog
Why tie yourself to one AI model?
Every model has blind spots.
Claude misses things GPT catches.
Gemini flags what Grok skips.
So I stopped picking one.
ππ²πΏπ²'π π΅πΌπ πΊπ ππ²πππ½ ππΌπΏπΈπ:
1οΈβ£ Claude does the work
Plans it, pulls the data, writes the draft.
2οΈβ£ Other models review it, each on its own
GPT, Gemini and Grok each get the same output.
None of them sees the others' notes.
3οΈβ£ Client data gets masked first
Names and account details are stripped
before anything leaves my system.
4οΈβ£ I read where they agree, and where they don't
Agreement β great, ship it.
Disagreement β that's where the value is.
The result?
Fewer wrong numbers. Fewer bad claims.
And it all runs from one place, in one workflow.
You get better, more consistent outputs.
New models & tools come out every month.
When one comes out, I plug it in and test it on my real work, with my context already loaded.
No switching tools.
No starting from scratch.
I use the model that best fits the task.
I'm walking through my full setup on Nov 19, 12pm ET:
"How to Build Your AI Amazon Ads OS"
The link is in the comments.
#amazonppc #amazonads #ai