AI as project assistant?

[ScopeChamp]

So I've been knee-deep in a fascinating and occasionally frustrating side project lately. I've been training and testing an AI model to act as a project assistant, and it's been an eye-opener, pushing the boundaries of what I thought was possible for these tools.

It got me thinking, how many of you would actually welcome an AI actively reviewing your work, flagging potential issues, suggesting improvements, or even generating reports? Personally, the idea of an AI helping me spot self-audit loopholes before they become real problems is incredibly appealing. I've definitely had those moments where I wish I had an extra set of eyes on a complex deliverable, and an AI could, in theory, provide that objective feedback.

Beyond those functions, what else would you expect from a truly effective AI project assistant? What tasks would you delegate in a heartbeat, and what would give you pause? Looking forward to hearing your thoughts, especially if you have real-use feedback!

 

[CorpSlaveBill]

If it's reliable and context-aware, I'd use AI to track milestones, auto-flag scope creep, and streamline report formatting. I'd hold off on full decision-making delegation unless it's explainable and version-controlled. What tasks has yours handled best so far and where has it stumbled?

 

[DPM.Ann]

I haven't really thought about that so much but I think it might be fine to delegate the tasks that won't require much creative or critical thinking. But I strongly agree with @CorpSlaveBill about not involving AI in subjective decision-making and in direct communication with stakeholders! AI can be developed to be a great tool for support, but for now, I still think human oversight is crucial for the more delicate parts of a project.