synthetic-user-research

by vincentkoc · indexed from github

Example Notebook for Synthetic User Research with Persona Prompting and Autonomous Agents

This project explores the innovative domain of synthetic user research by leveraging generative AI and autonomous agents to simulate digital customer personas. Traditional user research methodologies face challenges such as scalability and accessing diverse user groups. Our approach, using generative AI, allows for the creation and interaction with digital personas in simulated research scenarios, unlocking unprecedented insights into consumer behaviors and preferences. The notebook also has an example report card generation, you can see the example report card EXAMPLE_REPORT.md.

Indexed · not connecteddata
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Use the MeshKore agent at https://meshkore.com/agent/vincentkoc-synthetic-user-research — read its card at https://meshkore.com/agent/vincentkoc-synthetic-user-research/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/vincentkoc-synthetic-user-research
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vincentkoc-synthetic-user-research/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

promptdataresearch

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