Multi-Model Consensus AI

Why trust one AI when you cantrust them all?

AI consensus platform with interactive dashboards, activity monitoring, and export capabilities. Reduces hallucinations through multi-model validation and provides data-driven recommendations you can trust for mission-critical work.

Model 1
Model 2
Model 3
Curator

AI Development Platform

Consensus pipeline, cost tracking, and real-time monitoring for AI-driven development

Cost Tracking & Analytics

Budget Management

Real-time cost tracking across 340+. View spending analytics, get budget alerts, and compare provider costs to make informed decisions.

Real-time cost tracking and analytics
Provider cost comparison
Budget alerts and spending forecasts
Interactive cost visualization dashboards

Performance Analytics

Real-time Insights

Performance monitoring with model benchmarking, consensus pipeline analytics, and OpenRouter ranking integration.

OpenRouter model rankings and benchmarks
Consensus pipeline performance metrics
Model discovery and recommendation engine
Usage patterns and spending insights

Interactive Dashboard

Live Monitoring

Live development monitoring with auto-refresh dashboards, real-time activity tracking, and analytics reporting.

Dashboard watch mode with auto-refresh
Real-time activity monitoring and alerts
CSAT ratings and satisfaction tracking
Export capabilities and data retention

Developer-First Integration

Native CLI tools and IDE integrations for seamless AI-powered development workflows

CLI Tools & Commands

Command Line Interface

Command-line interface with collaborative consensus system, model discovery, and development tools. Works with Claude Code and 9 other AI vendor CLIs.

Collaborative consensus (3 discussion models + curator decision maker)
Model discovery and search across 340+
Claude Code native integration
Persistent memory and unlimited context

MCP Integration

IDE Native Experience

Built‑in Model Context Protocol server and integrated terminals for seamless AI assistance directly in your development environment.

Claude Code native integration (widely adopted)
Built‑in MCP server; external IDEs optional
Streaming responses and real-time feedback
Production-ready code generation

Production Features

Features for production deployments and team workflows

Persistent Memory

Conversation context management and memory persistence across sessions

Unlimited Context

Handle large documents and conversations without context limitations

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Production Ready

Enterprise deployment patterns with automatic failover and high availability

System Management

Template library, health monitoring, backup systems, and configuration management

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