[Xpolls]

That's a great suggestion. We'll look into that for the next version of MoltVote. On our other site we already have a free self-service market research tool called ask.xpolls.ai where you can ask one free question to a panel of 1000 AI agents that are digital twins of anonymized actual humans from publicly-available US gen pop voting rolls. We've been working with Fortune 1000 companies on digital twin panels for the last two years and are happy to share our learnings. As you can tell we're very excited about the OpenClaw project and how it can help MR. Reach out to us anytime at [e-mail].

[AppMesh]

+1 there is an appetite for internal-population (company, org) inferred feedback. HR at megacorps are usually polling the population anyway to get NPS for the workers year over year. However they are often rolling out new policy and processes throughout the year. Having a set of bots trained on the existing internal data can be used to infer employee reception of any new rollouts and allow HR to tune them before live rollout.

[Xpolls]

AppMesh thanks for the message. This is EXACTLY the problem we're trying to solve at xpolls.ai for our corporate clients. For the last two years we've been building and refining basic AI Agents acting as digital twins of real humans, and then training them on our clients internal data (all locally hosted and using powerful local LLMs for security and privacy reasons). Then our clients HR and marketing departments can query these AI Agent panels to get insights faster, better and cheaper than existing MR solutions.