I’m a former C++ dev turned Product Manager.
I’ve noticed many engineers struggle with the "politics" side of things when they become Leads. To help with this, I’m building a text-based simulator.
It is NOT an AI chatbot. It is a hand-crafted, branching narrative (logic tree) based on real experiences.
I just launched the first scenario: "The Backchannel VP."
The Setup: Your VP Engineering is bypassing you and giving tasks directly to your juniors, causing chaos.
Your Goal: Stop the backchanneling without getting fired.
It’s a short, specific puzzle. I’d love to know if you think the "Correct" path I designed matches your real-world experience, or if I’m off base.
ttul•1d ago
Sufficiently powerful AI can become the middle manager of everyone’s dreams. Wonderfully effective interpersonal skills, no personality defects. Fair and timely feedback.
Try to convince me this isn’t the case.
bdcp•1d ago
Have you tried AI to convince you otherwise?
gordonhart•1d ago
Linking Marshall Brain's ever-relevant novella "Manna" on this: https://marshallbrain.com/manna1
pingananth•1d ago
The missing piece wasn't intelligence, but statefulness and emotional memory.
A human manager (or VP) remembers that you embarrassed them in a meeting three weeks ago, and that hidden state dictates their reaction today. LLMs—currently—are too 'forgiving' and rational. They don't hold grudges or play power games naturally.
Until AI can simulate that messy, long-term 'political capital' (or lack thereof), I think we still need humans to navigate other humans. But I agree, for pure PR review and logical feedback, I'd take an AI manager any day!
wordpad•1d ago
Managing is about building relationships to coordinate and prioritize work and even though LLMs have excellent soft skills, they can't build relationships.
pingananth•1d ago
DrScientist•1d ago
:-)
Where is the AI going to get the information required to do the job?
How is the AI going to notice that Bob looks a bit burnt out, or understand which projects to work on/prioritise?
Who is going to set the AI managers objectives? Are they simple or are they multi-factorial and sometimes conflicting? Does the objective function stay static over time? If not how is it updated?
How are you going to download all the historic experience of the manager to the AI or are they just going to learn on the job.
What happens when your manager AI starts talking to another teams manager AI? Will you just re-invent office politics but in AI form? Will you learn how to game your AI manager as you understand and potentially control all it's inputs?
pingananth•1d ago
rpdillon•1d ago
pingananth•1d ago