B-Bot Hub Concepts
B-Bot Hub helps you configure AI Agents for focused roles and make them available through Distribution Channels. This section explains the ideas behind the product. For step-by-step setup instructions, use the linked Essentials guides.Start with the Core Concepts
AI Agents
Learn the vocabulary used for an Agent’s identity, instructions, capabilities, and access.
Lifecycle and Configuration
Understand how to define, test, connect, publish, and maintain an Agent.
Agent Architecture
See the conceptual flow from a user request to a model, tools, and a response.
Distribution Channels
Learn how configured experiences make an Agent available to users and systems.
Specialized Concepts
Fine-Tuning
Decide when examples and model fine-tuning are appropriate.
Model Distillation
Learn how teacher-generated examples can be used to train and evaluate a smaller model.
DeepAgents
Understand task planning, workspace files, and human review for multi-step work.
Multimodal AI
Plan interactions that use text, voice, images, or files.
Design an Agent
Build an AI Persona
Define a useful role, boundaries, tone, and evaluation scenarios.
Craft a System Prompt
Write clear instructions that are easier to test and maintain.
Explore Use Cases
- Customer support: plan grounded answers, escalation, and review.
- Data analysis: structure data checks, analysis, and result validation.
- Content creation: create repeatable drafting and editorial workflows.
Available models, tools, modalities, and Distribution Channels depend on your B-Bot Hub configuration and connected providers. Confirm availability before designing a production workflow.