# Anatomy of Strawberry AI

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Behind the scenes, Strawberry AI operates like a well-coordinated orchestra, where autonomous agents work together to create a seamless user experience. Each agent, much like a musician in an orchestra, contributes individually and collectively to produce a harmony of relevant and actionable intelligence based on user queries.

* **Smart Agents:** The core components of Strawberry AI, these agents are designed to perform specific roles and tasks. Each agent has distinct capabilities and focuses on particular aspects of a project.
* **Tasks:** These are the specific units of work assigned to agents. Tasks come with clear descriptions and expectations, ensuring agents know exactly what to accomplish.
* **Unit:** A group of agents working together toward a common goal. Units are organized to optimize collaboration and efficiency, enabling complex multi-agent interactions and workflows.

Designed to be inherently multi-modal, Strawberry AI's retail products will include:

* **Text-Based Search Engine:** Accessible via the web for straightforward information retrieval.
* **Advanced Search Engine:** Features voice and image interaction for a more dynamic user experience.
* **Premium Chatbot:** Available on Telegram, offering personalized assistance.
* **Analysis Companion:** Provides insights for charts and technical datasets.
* **Trading & Transaction Companion:** Delivers proactive, real-time performance monitoring.


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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://usestrawberry.gitbook.io/strawberryai/product-suite/markdown.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.