Team Member

Available Platform

Desktop | Mobile

Unified Assistant Interface For Your Team

SuperAssistant is our codename for universal user interface that can be used by all team members to interact with the AI assistant. This interface is designed to handle various types of tasks, such as data retrieval, question and answer, document generation, and data analysis, and more advanced tasks such as interactive chart and table, form filling and more.

Besides SuperAssistant, team admin can build other assistants specific to some use cases, for example, a customer support assistant, a sales assistant, a marketing assistant, etc.

The relationship between Super Assistant and Other Assistants is like the relationship between Team ChatGPT and Team Specific Gpts.

In terms of functionality, Super Assistant is no different from other assistants, the only difference is that Super Assistant is always shown on the top of the assistant list, and it's available for all team members.

For Team Member

Interacts with SuperAssistant

• Directly Ask Questions: You can ask questions to SuperAssistant, such as "What is the sales number of last year?" or "How many employees do we have in the company?"
• @specific agent: A noval way to interact with ReByte, you can @mention a specific agent to perform a specific task, for example, "@image_generator generates an image of a cat."
• /command: You can use slash commands to invoke other assistants, for example, "/customer_support"

Attachment files

• You can attach files to your message, we support various file types, such as csv, xlsx, PDF, docx, png, jpg, etc. ReByte will automatically parse the file and extract the content for further processing.

Reasoning Steps

Hallucination is a common issue in AI assistants, ReByte tries to solve this issue by providing reasoning steps as detail as possible, user can see the reasoning steps of each agent. Builder can also see the actual agent running log to debug if there's any issue.

Code Sandbox

ReByte planner iteratively writes/executes code in the code sandbox to achieve the goal. This is super useful to do things like data analysis, numerical computation, etc. Code execution environment is isolated for each user iteration.

Language that the assistant uses

You can control the language that the assistant uses to communicate with you.
go to 'user settings' -> 'language' to change the language.

Hallucination

Hallucination is a common issue in AI assistants. In our system, we try to solve these issues in the following ways:

• Automate small steps: We're NOT planning to do giant multiple steps reasoning, we do small steps planning at one time, and achieve the final goal iteratively under the guidance of the user.
• Reasoning Steps: We show the reasoning steps on Assistant UI, so user can see how the assistant comes up with the answer.
• Agent Run logs: Builder can see the actual agent running log to debug if there's any issue. Agent run contains the input data, the output data, and every step that the agent takes to achieve the goal.
• Show original data: We show the original data that the agent uses to generate the answer, so user can see if the data is correct. This is particularly useful for structured data. We will show exact data coming from user's database, so user knows if LLM provides the correct answer based on the data.