# AI Capabilities

## AI Agent Builder

Create and manage AI agents with:

- **Tool binding** — Attach external functions and APIs as agent tools
- **Data source access** — Grant agents read/write access to specific data sources
- **Knowledge base** — Upload documents for RAG-powered context
- **MCP servers** — Connect Model Context Protocol servers for extended tool discovery
- **Multi-model support** — Choose from 18+ AI providers: OpenAI, Anthropic, Google (AI Studio & Vertex), AWS Bedrock, Groq, Replicate, Together, Mistral, Cohere, Azure, Fireworks, xAI, Portkey, Alibaba, DeepSeek, HuggingFace, OpenRouter, Nebius, Perplexity, Cerebras
- **Agent connections** — Chain agents as sub-agents or forward requests between agents
- **Workflow steps** — Define multi-step agent workflows with conditional logic

## AI Task Scheduling

- Immediate, scheduled, and recurring (cron-based) agent task execution
- Task status tracking and result persistence

## AI Memory

Persistent memory system with scoping levels: user, thread, agent, workspace, and global. Vector embeddings for semantic retrieval.

## AI Chat Integrations

- Microsoft Teams and Google Chat installation and message mapping
- Thread-level conversation tracking across platforms

## Generative Features

- Content enhancement and completion
- Design generation (logos, banners)
- Audio transcription (speech-to-text)
- Semantic search across records and documents
- AI-powered data import and field recommendations

## AI Evaluation

17 evaluation metrics including toxicity, hallucination, and faithfulness tracking for agent quality monitoring.

## AI Usage Tracking

Per-model token usage and cost tracking for billing and optimization.
