RoboHeard — Agentic AI Orchestration Platform

RoboHeard is an agentic AI orchestration platform that runs a Conductor across eight 2026 frontier models — OpenAI GPT-5, Anthropic Claude 4, Google Gemini 2.5, xAI Grok-4, DeepSeek-R2, Mistral Large, Perplexity Sonar, and Qwen — so one prompt is delegated, debated, and synthesized into a single grounded answer.

What is RoboHeard?

RoboHeard is a multi-model AI chat platform where a Conductor model routes each request to the best-suited frontier model, has them debate when answers disagree, and returns a single synthesized response with citations. It replaces juggling six AI subscriptions with one orchestrated workspace.

How does Conductor Mode work?

Conductor Mode analyzes your prompt, picks a panel of frontier models suited to the task, dispatches sub-queries in parallel, resolves conflicts between their answers, and synthesizes a final response. You see each agent's contribution and the Conductor's reasoning — nothing is hidden.

Which AI models does RoboHeard support?

  • OpenAI GPT-5 — general reasoning and code
  • Anthropic Claude 4 — long-context writing and analysis
  • Google Gemini 2.5 — multimodal and search-grounded answers
  • xAI Grok-4 — real-time knowledge and image generation
  • DeepSeek-R2 — deep reasoning at low cost
  • Mistral Large — European-hosted general-purpose model
  • Perplexity Sonar — live web search with citations
  • Qwen — multilingual reasoning

Key features

  • Four chat modes: Conductor, Discussion, Isolated, Side-by-Side
  • Multi-model debate and conflict-resolution synthesis
  • Live web search with numbered source citations via Perplexity
  • Image generation across DALL·E, Gemini, and Grok
  • MCP server so Claude Code, Cursor, and Codex can call every model as a tool
  • REST API with personal API keys for scripts and backends
  • Token-based usage — no per-provider subscriptions to manage

Who is RoboHeard for?

Researchers, developers, and teams who need to compare frontier models on real work, build agentic workflows without stitching together seven vendor SDKs, or expose a single multi-model endpoint to their coding agents through MCP.