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We have ready-to-use materials for teaching LLM-based simulations with our open-source tools, and free credits for getting started. Earn more free credits by sharing your referral code!
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Our tools let you design and run the same survey with AI agents and human respondents, and seamlessly compare results.
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A key feature of Expected Parrot is that you can always use your own keys for LLMs and human participant platforms, or you can use your Expected Parrot key for unified access.
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The Simulmatics corporation, founded in 1959, aimed to predict the future using simulations (it's right there in the company name). Those simulations could be run on newly available digital computers, informed by the micro-data that was, by then, routinely collected and digitized. Applications were wide and spanned
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Our tools look technical and emphasize tinkering over quick answers. Here's why I still think you should try them.
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Here's a quick example of methods for generating a web-based version of your LLM survey and analyzing human and LLM responses together at your workspace.
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Quick methods for accessing and analyzing your automatically stored results from anywhere.
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Why human-provided structure improves AI answers to research questions, with examples.
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The Universal Remote Cache now has over a million unique LLM prompts and responses. You can retrieve them at no cost whenever you replicate research at Expected Parrot.
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Our tools are designed to make it easy to understand and monitor your LLM usage. Learn more about our latest features for precisely tracking your costs.
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EDSL is an open-source tool that lets you readily compare performance for many language models at once.
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Here are some reasons to run it at Expected Parrot, and easy ways to get started.