> ## Content Index > Fetch the complete content index at: https://expected-parrot.ghost.io/llms.txt > Use this file to discover other available public pages before exploring further. # Teaching AI simulations? Get free credits for your students and research projects. - URL: https://expected-parrot.ghost.io/teaching-ai-simulations-get-free/ - Published: 2025-08-17T14:06:26.000Z - Updated: 2026-10-17T15:55:04.000Z - Description: 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! - Author: John Horton - Tags: Newsletter, #Migrated-1792252444613, #Import 2026-10-17 15:54 Are you an instructor thinking about adding an LLM module to your course this fall? Or a student interested in learning how to do AI simulations as cheaply as possible? Read on! [Subscribe](#/portal/signup) # Free research tools Our [open-source tools](https://github.com/expectedparrot/edsl?ref=expected-parrot.ghost.io) let you simulate surveys using AI agent personas and [popular language models](https://www.expectedparrot.com/models?ref=expected-parrot.ghost.io) of your choice. Results are returned to you as formatted datasets specified by the [question types](https://docs.expectedparrot.com/en/latest/questions.html?ref=expected-parrot.ghost.io) that you choose (free text, multiple choice, linear scale, matrix, etc.), with columns of information about all the components of your survey: agent traits, model parameters, question details, answers, tokens, API costs, raw responses, and more. The tools come with [built-in methods for analyzing results](https://docs.expectedparrot.com/en/latest/results.html?ref=expected-parrot.ghost.io), and also let you [collect and compare responses from humans](https://docs.expectedparrot.com/en/latest/humanize.html?ref=expected-parrot.ghost.io) as needed. When you run your simulations at Expected Parrot your surveys and [results are cached automatically](https://docs.expectedparrot.com/en/latest/remote%5Fcaching.html?ref=expected-parrot.ghost.io), so you can retrieve and share them to let others reproduce and build on your work at no cost. You also get free credits for API calls to LLMs. Some quick links: - EDSL package at GitHub: [https://github.com/expectedparrot/edsl](https://github.com/expectedparrot/edsl?ref=expected-parrot.ghost.io) - EDSL documentation: [https://docs.expectedparrot.com](https://docs.expectedparrot.com/?ref=expected-parrot.ghost.io) - Create an account: [https://www.expectedparrot.com/login](https://www.expectedparrot.com/login?ref=expected-parrot.ghost.io) - Getting started: [https://www.expectedparrot.com/getting-started](https://www.expectedparrot.com/getting-started?ref=expected-parrot.ghost.io) # Getting started The EDSL package is available at [GitHub](https://github.com/expectedparrot/edsl?ref=expected-parrot.ghost.io) and [PyPI](https://pypi.org/project/edsl/?ref=expected-parrot.ghost.io) and is free for anyone to use. Our [docs page](https://docs.expectedparrot.com/?ref=expected-parrot.ghost.io) has [tutorials](https://docs.expectedparrot.com/en/latest/starter%5Ftutorial.html?ref=expected-parrot.ghost.io) for getting started and modifiable demo notebooks for exploring use cases and experimenting with AI agents and LLMs. You can run simulations on your own computer or [create an account](https://www.expectedparrot.com/login?ref=expected-parrot.ghost.io) to run surveys at Expected Parrot and share projects and results with others. # Free credits Your Expected Parrot account comes with $25 in credits for sending surveys to LLMs, and a unified key that provides access to all [available models](https://www.expectedparrot.com/models?ref=expected-parrot.ghost.io). You can also use your own keys for LLMs, and grant access to other users without sharing keys directly: ![](https://storage.ghost.io/c/bc/8c/bc8c40e2-e3d8-4888-8bb9-3276553ff8a4/content/images/2026/10/76e6f091-3cf1-4497-9fdd-068e8d4c8fab_2756x1588.png) Credits are deducted from your account to cover API calls to LLMs using your Expected Parrot key. You can purchase more credits at your **Credits** page, and earn free credits by sharing your **referral code**. Each time someone signs up with your code and runs a first survey job we automatically add 1,000 ($10) in credits to your account: ![](https://storage.ghost.io/c/bc/8c/bc8c40e2-e3d8-4888-8bb9-3276553ff8a4/content/images/2026/10/200b35c0-22ea-4c1e-a4fa-c21b436ff13e_2756x1588.png) (If you haven’t signed up yet, please feel free to [use our friend Luke’s referral code](https://www.linkedin.com/posts/lukestein%5Fim-a-huge-fan-of-what-my-friends-john-and-activity-7362579031201828865-Jl7q?utm%5Fsource=share&utm%5Fmedium=member%5Fdesktop&rcm=ACoAAAhThx4BBSvC9W78c1wTBwQ8php%5FwB01AkQ) :) # Teaching materials If you’re looking for ready-to-use teaching materials: **We love making customized content for classes and use cases!** **Get it touch anytime to let us know what you need.** - Our [documentation page](https://docs.expectedparrot.com/?ref=expected-parrot.ghost.io) provides a [starter tutorial](https://docs.expectedparrot.com/en/latest/starter%5Ftutorial.html?ref=expected-parrot.ghost.io) and notebooks for a variety of use cases. - Our [blog](https://blog.expectedparrot.com/?ref=expected-parrot.ghost.io) has examples of methods and use cases too, including: - [How to send a survey to LLMs and humans](https://blog.expectedparrot.com/p/how-to-launch-a-survey-with-llms?ref=expected-parrot.ghost.io) - [Comparing model performance](https://blog.expectedparrot.com/p/i-want-to-see-how-openais-o3-compares?ref=expected-parrot.ghost.io) - [Data labeling](https://blog.expectedparrot.com/p/how-to-use-a-language-model-to-label?ref=expected-parrot.ghost.io) - We have slides for teaching EDSL basics that we’re happy to share! Send us a message at *info@expectedparrot.com* or [post a message at our Discord channel](https://discord.com/invite/mxAYkjfy9m?ref=expected-parrot.ghost.io). # Example class project NYU researcher [James Traina](https://www.linkedin.com/in/james-traina-50a8a729b/?ref=expected-parrot.ghost.io) recently designed an [MBA case study](https://drive.google.com/file/d/1xVxq5xbiVNjyuYZqlTpYHPfLuhR0X3jV/view?usp=sharing&ref=expected-parrot.ghost.io) using EDSL to simulate complex market research scenarios. The exercise puts students in the role of product strategy managers at Thunder Bank, tasked with justifying a $75 million branch transformation using AI-powered customer insights. [Read what the students thought about it](https://www.linkedin.com/feed/update/urn:li:activity:7347937111716622336/?actorCompanyId=74929670&ref=expected-parrot.ghost.io)! [Subscribe](#/portal/signup)