# Research Agent

User Query: *How to reduce food waste?*

**Research Agent Output:**

* **Research Papers Identified:**\
  The Research Agent has found 15 key research papers on reducing food waste. Notably, it includes a 2023 study on predictive inventory management and a 2022 case study on household waste reduction techniques.
* **Key Insight:**\
  Recent studies indicate that AI-driven inventory systems can reduce food waste by 25% in retail stores.
* **Research Gap:**\
  There is limited research on the impact of AI in reducing household food waste globally.

**Context:**\
By quickly scanning academic databases, the Literature Agent accelerates the process of gathering current studies and identifying areas that need further research. This helps researchers focus on promising methods and recognize where additional work is needed.


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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://descipher.gitbook.io/doc/examples/research-agent.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.