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Less chatty judges
How my LLM judge advice carries over to Jev (or other ‘decision models’)
Oct 5
•
Ryan Sloan
1
September 2026
COGS in the machine
Is Opus 5.5 really 40% cheaper? Only your own measurements can truly say.
Sep 28
•
Ryan Sloan
If at first you don’t succeed, try something else
Agentic tasks that fail once often fail again. “Just retry” isn’t a strategy.
Sep 21
•
Ryan Sloan
Better good than lucky
The winner’s curse is coming for your evals
Sep 14
•
Ryan Sloan
Read your judges’ dissenting opinions
Using disagreement when a panel of LLM judges represents competing priorities
Sep 8
•
Ryan Sloan
August 2026
Should PMs Own Evals?
An eval program is six jobs, assigned to the team you have
Aug 31
•
Ryan Sloan
The Illusion of Precision
Probabilities from LLMs are a charade, ask for what they're good at instead.
Aug 24
•
Ryan Sloan
A Million-Token Bad Habit
Leave the junk drawer for your kitchen
Aug 17
•
Ryan Sloan
The LLM is a jackhammer
Overkill if your problem is a nail.
Aug 10
•
Ryan Sloan
Not Every Ticket Is Your Opus
Bigger isn't always better, and you don't have to guess which model you need.
Aug 3
•
Ryan Sloan
1
July 2026
Don't make the model do the math
Well-designed agent tools guard against hallucination
Jul 27
•
Ryan Sloan
1
You can do better than retrieval
Using graph+vector structure to unlock new patterns in data
Jul 20
•
Ryan Sloan
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