> For the complete documentation index, see [llms.txt](https://community-test.logicnets.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://community-test.logicnets.com/release-9/example-gallery/example-applications/assessment-framework-application-logicnets-101-training-module.md). # Assessment Framework Application: LogicNets 101 Training Module Known as *Drinks for John*, this sample assessment framework application was designed for new LogicNets users trying to understand the basics of the assessment framework format. It shows how users can be asked simple questions about what they would like to drink and how that data can then be processed dynamically to generate and explain the resulting order. Download this project and import it into your Designer. Click the project name and run it in test mode to see a very simple runtime LogicNets application. Then inspect the logicnets and try to recreate with your own options! Note that a PDF is available for download from the runtime model. This has some more information about the spec and the steps to build the application. ## Attachments * [LogicNets ASF 101v74.zip](https://github.com/logicnets/community-portal/tree/release-9/docs/.gitbook/assets/80kh3h-LogicNets-ASF-101v74.zip) * [LogicNets ASF 101 v81.zip](https://github.com/logicnets/community-portal/tree/release-9/docs/.gitbook/assets/x1d18s-LogicNets-ASF-101-v81.zip) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://community-test.logicnets.com/release-9/example-gallery/example-applications/assessment-framework-application-logicnets-101-training-module.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.