# BGR Network - [Features](https://docs.bitgrit.ai/bgr-network/features.md) - [Competitions](https://docs.bitgrit.ai/bgr-network/competitions.md): A new way to build AI models - [AI Competition Life Cycle](https://docs.bitgrit.ai/bgr-network/competitions/ai-competition-life-cycle.md): Data Science Competition Life Cycle - [How to get involved](https://docs.bitgrit.ai/bgr-network/competitions/how-to-get-involved.md): How data scientists and companies can get involved - [Impact on business ROI](https://docs.bitgrit.ai/bgr-network/competitions/impact-on-business-roi.md): AI competition has the following benefits which may have a direct impact on business ROI - [AI Marketplace](https://docs.bitgrit.ai/bgr-network/ai-marketplace.md): Access to Niche Models - [Job Board](https://docs.bitgrit.ai/bgr-network/job-board.md): Find the Best Talent - [Datasets](https://docs.bitgrit.ai/bgr-network/datasets.md) --- # Agent Instructions: 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: ``` GET https://docs.bitgrit.ai/bgr-network.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.