> For the complete documentation index, see [llms.txt](https://docs.trustlogix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trustlogix.io/trust-ai/ai-agents/resources.md). # Resources ## Discoverable Resources AI Agents can access data via "resources". If TrustLogix doesn't currently support discovery/import for a desired resource, they can be manually configured in the console. {% hint style="warning" %} Currently, TrustLogix only supports automatic discovery of database objects in registered data accounts and data products across all data domains. \ \ Additionally, we offer 4 resource types out of the box (File, Folder, API, Data Product) that can be used to manually configure resources. {% endhint %} ## Custom Resource Creation * Custom resource types can be defined in the **Resources Type** tab. Resource types consist of name, description, attributes, and actions. * Once the resource type is created, it can be selected during the manual resource creation in the **Resource** tab. * Along with any custom resources created here, resources that TrustLogix discovers will be automatically selectable during policy creation in the **Access Policies** tab. See [Access Policies](/trust-ai/ai-agents/access-policies.md) for more details. --- # 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 dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.trustlogix.io/trust-ai/ai-agents/resources.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.