# USE CASES

- [Movie Recommender Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/movie-recommender-agent.md)
- [JobSearch Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/jobsearch-agent.md)
- [Blog Writing Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/blog-writing-agent.md): This example shows how to create an OpenAGI agent with three workers (Research Analyst, Tech Content Strategist, Review and Editing Specialist) to autonomously research, write, and review a blog post.
- [News Agent](https://openagi.aiplanet.com/v0.1.0-1/use-cases/github-agent.md): Staying current with the latest developments is crucial, especially in the fast-paced world of technology and artificial intelligence. A News Agent can help you stay informed by gathering the latest n
- [Itinerary Planner](https://openagi.aiplanet.com/v0.1.0-1/use-cases/market-agent.md): This example uses OpenAGI to create trip itineraries by leveraging an OpenAI model through an Admin agent, with results displayed using Markdown via the rich library.


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# 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://openagi.aiplanet.com/v0.1.0-1/use-cases.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.