Expected Parrot
Open research platform enabling users to design and conduct surveys, experiments, simulations, and research workflows using LLMs, automated research functionality, and human participants.
About Expected Parrot
Expected Parrot helps companies simulate their customers with AI agents to explore pricing, product, marketing, communications and other scenarios at scale. Our open-source library and no-code web app let you design custom agent personas and conduct interviews and surveys with them using LLMs of your choice to generate results and reports. Everything is cached and reproducible, and you can send the same surveys to human respondents to validate results in the same interface.
Products
Open-source Python library for designing AI agent personas and simulating surveys with models of the user's choice.
Helps turn research goals into study plans, surveys, interview guides, audiences, and analysis workflows.
Product referenced in site navigation, linked via the 'polly' use-case page.
Security and compliance
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- Response caching: cached outputs are associated with prompts, not accounts or identity
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