Advanced AI
Multi-AgentOrchestrator
Break complex tasks into parallel subtasks and delegate them to specialized AI agents. Watch them research, code, and collaborate in real time.
Parallel Sub-Agents
The Orchestrator automatically decomposes complex requests into independent subtasks and spawns specialized agents to work on them simultaneously. Each agent has its own context and tools.
- Automatic task decomposition
- Parallel execution: 3x faster than sequential
- Each sub-agent works independently with full tool access
Real-Time Progress Tracking
Monitor every sub-agent's progress in the dedicated panel. See which tools they're using, what they've discovered, and how they share findings with each other.
- Live streaming from each agent
- Tool usage badges (web_search, code_search, etc.)
- Cross-agent communication for shared discoveries
Tool Activity Dashboard
The Tool Activity panel gives you a chronological view of every action the AI takes, including file reads, writes, terminal commands, web searches, and more. Filter and search to find specific operations.
- Chronological tool execution log
- Filter by tool type or search by keyword
- Per-message step grouping with counts
Orchestrator Capabilities
Validation Feedback Loop
Every response goes through quality scoring (0-100), correctness checking, and automatic refinement until enterprise standards are met.
Dynamic Prompt Engineering
31 composable prompt sections dynamically assembled per request. Mode-specific customization and prompt caching for up to 90% cost reduction.
Wave-Based Scheduling
Sub-agents execute in coordinated waves. Inter-agent bulletin board enables knowledge sharing, and @mention invocation lets you target specific agents.
Per-Agent Cost Tracking
Monitor token usage and costs for each sub-agent individually. Set cost budgets and max turn limits per agent to control spending.