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its not about the cost or complexity of the solution, its just about the info density.

```The result after running 20 parallel agents on this for ~2 days:```

That's basically saying 'yeah, me and my 20 coworkers figure everything out of your company'. There is just nothing innovative apart from hoping the AI to magically just work.

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Hey, OP here! I agree the idea here is pretty simple. The main insight is just allowing the agents to figure out the unfiltered truth about a company (the good, bad, and ugly). I tried many variations of this before but they all failed because it simply captured "intended process" instead of the ground truth. Still have a lot of hard problems to figure out like how to maintain RBAC and scale this solution!

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