> For the complete documentation index, see [llms.txt](https://docs.gdf.ai/gdf-full-stack-engineering/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.gdf.ai/gdf-full-stack-engineering/subject-knowledge-areas/ideation.md).

# Ideation

The below sections cover a broad scope of ideation and refinement approaches with references to concepts often discussed in product management, project management, and agile frameworks for developing an application. If you have leveraged these frameworks before, then some of content may be redundant, but the intent is to create new perspectives in how generative AI can be used to accelerate or improve the quality of these activities.

In relation to generative AI, you can use prompts to help identify problems, create new ideas to solve those problems, elaborate on existing solutions, or challenge your own thoughts through other suggestions.


---

# 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:

```
GET https://docs.gdf.ai/gdf-full-stack-engineering/subject-knowledge-areas/ideation.md?ask=<question>
```

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.