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docs: improve documentation content (#223)

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10
apps/docs/docs/getting-started/introduction.mdx
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@ -1,6 +1,6 @@
---
title: "Introduction"
description: "Welcome to the official Rowboat documentation! Rowboat is a low-code AI IDE to build MCP tools connected multi-agent assistants. Rowboat copilot builds the agents for you based on your requirements with the option do everything manually as well."
description: "Welcome to the official Rowboat documentation! Rowboat is a low-code AI IDE to build tool connected multi-agent assistants. Rowboat copilot builds the agents for you based on your requirements with the option do everything manually as well."
icon: "book-open"
---
@ -11,9 +11,9 @@ icon: "book-open"
## What is RowBoat?
**RowBoat is a state-of-art platform to build multi-agent AI systems in a visual interface, with the help of a copilot.**
RowBoat enables you to build, manage and deploy user-facing assistants. An assistant is made up of multiple agents, each having access to a set of tools and working together to interact with the user as a single assistant. You can connect any MCP tools to the agents.
RowBoat enables you to build, manage and deploy user-facing assistants. An assistant is made up of multiple agents, each having access to a set of tools and working together to interact with the user as a single assistant. You can connect any tool to the agents.
For example, you can build a *credit card assistant*, where each agent handles a workflow such as *outstanding payments*, *balance inquiries* and *transaction disputes*. You can equip agents with tools to carry out tasks such as *fetching payment options*, *checking outstanding balance* and *updating user information*. The assistant would help your end-users their credit card-related needs without having to talk to a human agent on your end.
For example, you can build a *meeting prep assistant* that helps you prepare for upcoming meetings. One agent can access your Google Calendar to see your scheduled meetings, another agent can research the meeting attendees (such as finding their LinkedIn profiles or recent news), and a third agent can compile this research and send it to your email before the meeting. This way, you get automated, personalized meeting prep without manual effort.
---
@ -34,12 +34,12 @@ There are key components that you will work with:
### RowBoat Chat API & SDK
- [RowBoat Chat API](/docs/api-sdk/using_the_api) is a stateless HTTP API to interface with the assistant created on RowBoat Studio. You can use the API to drive end-user facing conversations in your app or website.
- [RowBoat Chat SDK](/docs/api-sdk/using_the_sdk) is a simple SDK (currently available in Python) which wraps the HTTP API under the hood. It offers both stateful and stateless (OpenAI-style) implementations.
- [RowBoat Chat SDK](/docs/api-sdk/using_the_sdk) is a simple Python SDK which wraps the HTTP API under the hood. It provides a clean interface for managing conversations using conversation IDs for state management.
---
## Why RowBoat?
Rowboat is the fastest way to build and deploy MCP connected multi-agents
Rowboat is the fastest way to build and deploy multi-agent assistants.
<Steps>
<Step title="Build complex assistants">

2
apps/docs/docs/getting-started/quickstart.mdx
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@ -41,7 +41,7 @@ Using the open-source version of Rowboat requires more technical skill to set up
```bash
git clone git@github.com:rowboatlabs/rowboat.git
cd rowboat
docker-compose up --build
./start.sh
```
</Step>