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Show HN: Let AI agents run real user interviews (github.com)
1 points by jtccc 105 days ago
AI can build products now.

But it still doesn't talk to users.

I built a small MCP server that lets AI agents run real user interviews and return structured insights (themes + quotes).
3 comments
jtccc 105 days ago
Example workflow an agent could run:

Agent prompt: “Why are users confused about onboarding?”

1. create_study → generates interview link

2. share with users

3. get_study_results → returns themes + quotes

Now the agent has real qualitative signal instead of relying on its own assumptions or humans.

The next step would be wiring this to product analytics so agents can trigger research from real product signals, then feed insights back into what gets built.

Curious if agents will mostly rely on synthetic users, or still need real conversations to learn not just how to build, but what to build.

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jtccc 105 days ago
One thing I’m curious about:

Most agent workflows today optimize build execution (write code, deploy, run tests).

But the discovery loop is still mostly human.

Humans usually do: hypothesis → talk to users → adjust → build.

Feels plausible that agents could eventually run that whole loop themselves.

If that happens, what comes next?

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chrisjj 105 days ago
> Usercall MCP lets AI agents run voice real user interviews

Aaaand.... what are "voice real user interviews"?

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jtccc 105 days ago
Oops typo. Thanks for pointing that out -fixed. It works via voice calls with users. The agent asks questions, probes, and returns themes + quotes after the call.
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