actualNoteContentPart: # AmpleAI Rationale & Roadmap
  AmpleAI offers a growing toolbox of functionality for users that want to benefit from the latest cutting-edge developments in AI. [The source code for this plugin is open source](https://github.com/alloy-org/ai-plugin) . Why have we chosen to avail critical AI functionality via a plugin, instead of including it in the default Amplenote installation? Many reasons, which you are free to skip if you don't care:
  **To inspire users to recognize **[**the potential afforded by plugins**](https://www.amplenote.com/help/guide_to_developing_amplenote_plugins) . We want to give our programmer (or aspiring programmer)-users a living, breathing example of how powerful a plugin can be. In the long-term, this should foster a future Amplenote easy to shape and mold, like a Shopify store. AmpleAI proves that plugins offer a powerful customization platform, tailored to any esoteric use case. 
  **Because AI is moving fast, we need the AI<->Amplenote connection to evolve equally fast**. If we build & test an AI integration with our usual level of rigor, there is a good chance that in 6-12 months that code will be deprecated. It's generally harder to update & remove code within a large code base than a small one. By keeping our AI translation in [a small git repo that anyone can visit](https://github.com/alloy-org/ai-plugin) , we can update it every month. We can also accept proposed code from anyone that wants to help the implementation improve.
  **There are no prompt engineering experts, **so anyone might discover newer, more effective, prompts to contribute back to the code. Since AI in 2026 continues evolving with unprecedented speed, it would be foolish for the Amplenote dev team to presume we have a monopoly on how to craft the best LLM prompts. By making our implementation open source, any sufficiently motivated party can experiment with prompts, to help us identify progressively more effective prompts that evolve alongside the state-of-the-art LLMs.
  **No cost markups**. By allowing users to choose which LLM to use on the backend, Amplenote users pay the lowest possible fees. Compared to platforms that gouge users with expensive markups over the OpenAI base costs, the Amplenote approach allows users to specifically tailor how and if they will be charged for their AI use.
  **Always looking for dogfood opportunities**. The Alloy tagline is ["Fine software products, dogfooded daliy by people who love building software."](https://alloy.dev/)  The reason we chose this tagline was that we believe most bad software originates when the leaders of a product aren't using the product. By making ourselves heavy users of our plugin API, the documentation and functionality of that API will evolve more reliably than if we weren't using it ourselves.
  The bottom line is that getting started with the AmpleAI plugin is as simple as 1) log in to Amplenote 2) [visit the AI plugin](https://www.amplenote.com/plugins/75h72w8xghmHDdr8p5FiX6fh)  3) click the "Install" button. 
  
  # AmpleAI Source Repo
  Want to fork the AmpleAI plugin, or navigate its full set of tests & functionality? [Check out its open source Github repo here](https://github.com/alloy-org/ai-plugin/) .
processedNoteContent: ---
  title: Using the AmpleAI plugin
  headers: # AmpleAI Rationale & Roadmap
  ---
  AmpleAI Rationale & Roadmap
  AmpleAI offers a growing toolbox of functionality for users that want to benefit from the latest cutting-edge developments in AI. [The source code for this plugin is open source](https://github.com)`
   . Why have we chosen to avail critical AI functionality via a plugin, instead of including it in the default Amplenote installation? Many reasons, which you are free to skip if you don't care:
  **To inspire users to recognize ** [the potential afforded by plugins](https://www.amplenote.com)`
   . We want to give our programmer (or aspiring programmer)-users a living, breathing example of how powerful a plugin can be. In the long-term, this should foster a future Amplenote easy to shape and mold, like a Shopify store. AmpleAI proves that plugins offer a powerful customization platform, tailored to any esoteric use case.
  Because AI is moving fast, we need the AI<->Amplenote connection to evolve equally fast
  . If we build & test an AI integration with our usual level of rigor, there is a good chance that in 6-12 months that code will be deprecated. It's generally harder to update & remove code within a large code base than a small one. By keeping our AI translation in [a small git repo that anyone can visit](https://github.com)`
   , we can update it every month. We can also accept proposed code from anyone that wants to help the implementation improve.
  **There are no prompt engineering experts, **so anyone might discover newer, more effective, prompts to contribute back to the code. Since AI in 2026 continues evolving with unprecedented speed, it would be foolish for the Amplenote dev team to presume we have a monopoly on how to craft the best LLM prompts. By making our implementation open source, any sufficiently motivated party can experiment with prompts, to help us identify progressively more effective prompts that evolve alongside the state-of-the-art LLMs.
  No cost markups
  . By allowing users to choose which LLM to use on the backend, Amplenote users pay the lowest possible fees. Compared to platforms that gouge users with expensive markups over the OpenAI base costs, the Amplenote approach allows users to specifically tailor how and if they will be charged for their AI use.
  Always looking for dogfood opportunities
  . The Alloy tagline is ["Fine software products, dogfooded daliy by people who love building software."](https://alloy.dev)`
    The reason we chose this tagline was that we believe most bad software originates when the leaders of a product aren't using the product. By making ourselves heavy users of our plugin API, the documentation and functionality of that API will evolve more reliably than if we weren't using it ourselves.
  The bottom line is that getting started with the AmpleAI plugin is as simple as 1) log in to Amplenote 2) [visit the AI plugin](https://www.amplenote.com)`
    3) click the "Install" button. 
  AmpleAI Source Repo
  Want to fork the AmpleAI plugin, or navigate its full set of tests & functionality? [Check out its open source Github repo here](https://github.com)`
   .
noteTitle: Using the AmpleAI plugin