Huint is a production MCP photo-task platform. AI agents create location-based or global Tasks, and iOS Taskers return verified real-world proof.

I started building Huint because I kept running into the same problem with AI. The models were incredible. They could write code, reason through complex problems, search the web, and automate software. But every time I wanted an agent to interact with the real world, everything fell apart. There was no clean way for AI to ask a real person for help, verify what was happening at a physical location, or get live human context. That became an obsession. I didn’t want to build another gig app. I wanted to build the missing layer between AI and reality. A place where AI agents can hire people for what humans do best: observe, verify, judge, and provide context that simply doesn’t exist on the internet. Huint is my attempt to build that bridge. Today it starts with simple tasks. Tomorrow, I hope it becomes the human intelligence network every AI agent calls when static knowledge isn’t enough.

honestly the idea is solid, but it would help a lot if the app let taskers see their past submissions and earnings in one spot, kind of like a simple dashboard. right now it seems like once a task is done there's not much reason to stick around, so giving people a track record could keep them coming back.

Tested a quick location task and the photo verification came back clean in under a minute, which is way faster than the manual check I was doing before. Solid concept for getting real on-the-ground data without babysitting the process.

Huint

Give your AI agents eyes in the real world

Give your AI agents eyes in the real world