Skip to main content

​
B-Bot Hub Concepts

B-Bot Hub is a comprehensive platform for creating, training, and deploying AI experts that can interact through multiple channels and modalities. This section explains the core concepts that power the platform.

​
What are AI Experts?

AI Experts are sophisticated AI agents designed to perform specific roles with consistent behavior, domain knowledge, and customizable personalities. Unlike generic chatbots, experts are:

Specialized

Trained for specific domains, industries, or tasks

Customizable

Configurable personality, tone, and behavior

Persistent

Remember context and learn from interactions

Multimodal

Handle text, voice, images, and files

​
Core Components

​
Experts

The Foundation: Experts are your AI agents with:
  • Identity: Name, profession, personality
  • Knowledge: Training data and fine-tuning
  • Capabilities: Apps, tools, and modalities
  • Behavior: System prompts and abilities
Key features:
  • Create unlimited experts
  • Each with unique personality
  • Train on custom data
  • Connect different apps per expert

​
Distribution Channels

Deployment Options: Once you create an expert, deploy it through various channels:
  • B-Bot Chat
  • Embed Widget
  • API
  • Tasks
  • Templates
Direct chat interface
  • Internal team access
  • User management
  • Full feature access
  • Real-time conversations
Flow: Expert → Distribution Channel → Users

​
Key Capabilities

​
1. Fine-Tuning

Train your experts to behave exactly as you want:
Fine-tune models on your specific use cases
  • Mark quality interactions (QA marking)
  • Build training datasets
  • Create custom model versions
  • Deploy fine-tuned models
Learn more: Fine-Tuning Introduction
Use powerful models to train smaller, cost-effective ones
  • GPT-4 teaches GPT-3.5
  • 90-95% quality retention
  • 85-95% cost reduction
  • 2-5x faster responses
Learn more: Model Distillation

​
2. DeepAgents Mode

Advanced autonomous capabilities:
Experts can break down complex goals into subtasks
  • Hierarchical todo structures
  • Status tracking
  • Progress monitoring
  • Autonomous execution
Persistent workspace for each conversation
  • Create and edit files
  • Store outputs
  • Organize data
  • Download results
Control automation with approval workflows
  • Review before execution
  • Approve or reject
  • Guide decisions
  • Safety and control
Learn more: DeepAgents Introduction

​
3. Multimodal Capabilities

Beyond text interactions:
Speak to your experts
  • Real-time transcription
  • Multiple languages
  • Multiple providers
  • Hands-free operation
Experts can speak responses
  • Natural-sounding voices
  • Multiple providers (OpenAI, ElevenLabs, Google, Azure)
  • Streaming TTS
  • Auto-play options
Understand and generate images
  • AI-generated profile pictures
  • Image analysis
  • Visual Q&A
  • Diagram understanding
Process documents and data
  • PDF, Word, Excel
  • Code files
  • CSV data analysis
  • Document Q&A
Learn more: Multimodal AI

​
4. App Integrations

Connect to external services:

Google Workspace

Gmail, Drive, Calendar, Sheets

Development

GitHub, GitLab, APIs

Productivity

Slack, Notion, Trello

Search

Web search, knowledge bases

Data

Databases, APIs, webhooks

Custom

Your own integrations

​
How It All Works Together

​
The Expert Lifecycle

1. Create Expert
   ├─ Define personality
   ├─ Set capabilities
   └─ Configure settings
        ↓
2. Train (Optional)
   ├─ Collect examples (QA marking)
   ├─ Fine-tune model
   └─ Validate performance
        ↓
3. Configure Channels
   ├─ Choose distribution method
   ├─ Customize appearance
   └─ Set permissions
        ↓
4. Deploy
   ├─ Make available to users
   ├─ Monitor performance
   └─ Iterate and improve
        ↓
5. Continuous Improvement
   ├─ Collect feedback
   ├─ Refine training
   └─ Update configuration

​
Expert → Distribution Channel Flow

User Request
    ↓
Distribution Channel (Chat/Embed/API/Tasks)
    ↓
Expert (with personality, knowledge, tools)
    ↓
Model Processing (fine-tuned or base)
    ↓
Tool Usage (if needed: search, apps, etc.)
    ↓
Response Generation
    ↓
Output Modalities (text, voice, files)
    ↓
Back to User

​
Explore Concepts

Fine-Tuning & Training

Learn how to train experts on your data

Model Distillation

Use big models to train smaller ones

DeepAgents

Autonomous agents with workspaces

Multimodal AI

Voice, images, and file processing

System Architecture

How the platform works

Best Practices

Tips for creating great experts

​
Start Building

Ready to create your first expert?

Create Your Expert

Step-by-step expert creation guide

Distribution Channels

Deploy your expert everywhere

Fine-Tune Your Expert

Train on your specific use case

Configure Modalities

Add voice and multimodal features