@9hills: AI for Work is quite subtle inside many enterprises. Using general-purpose agents (Hermes, WorkBuddy, etc.) paired with the DeepSeek-V4-Pro model can optimize many repetitive tasks. But from what I observe, unlike programmers who actively burn tokens to improve efficiency and accelerate their own obsolescence…

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Summary

A user observes the current state of internal AI applications: general-purpose agents with DeepSeek V4 Pro can optimize repetitive tasks, but traditional role departments often propose complex requirements that are hard to implement, while secretly using them privately, demonstrating a kind of survival wisdom.

AI for Work is quite subtle inside many enterprises. Using general-purpose agents (Hermes, WorkBuddy, etc.) paired with the DeepSeek-V4-Pro model can optimize many repetitive tasks. But from what I observe, unlike programmers who actively burn tokens to improve efficiency and accelerate their own obsolescence, there is a very interesting phenomenon in some enterprises among traditional roles like finance and administration: they propose very complex agent requirements including UI to the IT department, aiming to make it difficult to implement. But in reality, some people secretly use it. Perhaps this is also a kind of survival wisdom.
Original Article
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Cached at: 07/02/26, 06:18 AM

AI for Work is a delicate matter within many companies.

Using general-purpose agents (such as Hermes, WorkBuddy, etc.) paired with the DeepSeek-V4-Pro model can optimize a lot of repetitive tasks.

But from what I’ve observed, unlike programmers who actively burn tokens to boost efficiency and accelerate their own obsolescence, traditional roles like finance and administration show an interesting phenomenon in some companies: they submit highly complex agent requirements with UI needs to the IT department, making implementation difficult to pull off.

However, some people actually use it quietly on the side.

Perhaps this is also a form of survival wisdom.

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