jtccc

4 か月前議論

This sounds like bot comment spam

4 か月前議論

So the agent returns a web voice interview link that can be shared with your users via email, discord, in-app or where-ever your users are. What would be ideal for you?

jtccc

4 か月前議論

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?

jtccc

4 か月前議論

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.

jtccc

4 か月前議論

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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Show HN: AI agents that run real user interviews

Show HN: Let AI agents run real user interviews

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