AI Management: 9 Things a Manager Does Differently with AI
·2 min read·Beginner
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Imagine delegating not just tasks, but entire project management to artificial intelligence. One manager dared to do just that, rewriting the instruction manual.
In 30 seconds
01A manager replaced "permission prompts" with 134 standing rules for AI management.
02He spent four and a half months defining the new AI-driven management system.
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What this means for you
For the average person, this means AI could soon play a more active, decision-making role in the workplace, beyond simple automations. Prepare for a future where your boss might be an algorithm with a 134-rule manual.
Do you blindly trust code written by artificial intelligence? Probably not. There's a crucial detail many people miss, though.
·2 min·Intermediate
03The result? Nine unique operational approaches, with AI deciding who, what, and when.
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Can AI really be a manager?
Apparently, yes, or at least it's trying. One manager, Andrew Childress, decided to entrust a significant part of his job to artificial intelligence, not just as an assistant, but as a genuine "boss." He spent four and a half months building his system.
Childress ditched the idea of "permission prompts," those questions AI asks for a green light, much like a child asking "can I do this?". Instead, he created 134 "standing rules," a sort of company handbook entirely written for AI. It's like having an internal regulation where every single decision is already foreseen. Andrew Childress spent four and a half months writing 134 standing rules for an artificial intelligence-based management system.
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Standing rules vs. prompts: what's the difference?
The change is radical: it's no longer about giving specific instructions every time, but letting AI operate autonomously following a predefined set of principles. Essentially, instead of saying "do this," the AI already knows "how" and "when" to act. Goodbye wasted time on a thousand questions and answers.
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With this approach, the AI manages nine aspects previously handled by the manager. It decides who is the best person for a task, what the next action will be, and creates and assigns activities. It almost seems like AI doesn't just suggest, but actually makes operational decisions. A bit unsettling, isn't it? Andrew Childress's system enables artificial intelligence to manage nine operational aspects, including task assignment and timeline definition.
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And the results? Does it really work?
The author claims it does, with "proof" supporting his thesis. The idea is that with clear, predefined rules, AI becomes more efficient and predictable. It's no longer an assistant waiting for orders, but an "agent" operating within established boundaries.
This means AI not only determines deadlines and budget, but also the expected quality, priority, and success criteria for each task. Practically, a small enlightened dictator in digital format. It remains to be seen if teams appreciate having a boss who doesn't even take coffee breaks. Childress's approach aims to make AI an autonomous agent that decides task timelines, budgets, and success criteria.
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