> For the complete documentation index, see [llms.txt](https://helpdocs.conducttr.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://helpdocs.conducttr.com/colibri/getting-started/creating-your-colibri-exercise/recommended-workflow.md). # Recommended Workflow Colibri supports two complementary exercise approaches: * **Recognition-led exercises ("quiz")**\ Designed to reinforce correct interpretation of policies, thresholds, and decision criteria in realistic situations. * **Judgement-led exercises**\ Designed to develop decision-making under uncertainty, using characters, trade-offs, and consequences. Self-paced exercises are reliant on player participation to keep the exercise flowing. You therefore need to put interactivity at the heart of your design process - **what can I get the player to do**? {% hint style="warning" %} Because the default option for Colibri exercises is a quiz (recognition-led exercise), if you want to create a more judgement-led exercise, you'll need to first generate a quiz and then either delete that tab or augment it. {% endhint %} --- # 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://helpdocs.conducttr.com/colibri/getting-started/creating-your-colibri-exercise/recommended-workflow.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.