What problem does it solve?
It solves the need to get multiple, diverse AI perspectives quickly so you can compare approaches and improve decision-making on complex tasks.
Core Features & Use Cases
- Multi-agent execution with sensible defaults: Runs Gemini, Codex, Claude Code, Cursor Agent, and Pi with guidance to avoid unnecessary follow-up questions unless the user asks for choices or required inputs are missing.
- Model-specific strengths for different task types: Uses each provider appropriately, such as Gemini for research with internet access and Codex for fast, code-focused generation.
- Comparison and read-only workflows: Encourages “analyze only” prompts for reviews/plans and supports comparing outputs by asking multiple agents about the same problem.
Quick Start
Ask your desired agent by name, for example: "ask cursor composer-2 to propose an approach for implementing feature X, and then ask codex to compare it with a different implementation strategy."