prose

You can orchestrate multi-agent workflows by writing Prose that defines agents, sessions, and control flow, enabling parallel execution and complex task coordination. This allows multiple AI agents to work concurrently and efficiently.

State management for AI session programming maintains data continuity across different execution stages and subagents. You need it when building complex workflows where multiple agents must share context and preserve intermediate results across sessions.

Yes, you need an AI assistant that supports Claude Code, OpenCode, or Amp to execute Prose orchestrations. The Skill relies on these platforms to provide primitives like subagents and AI-evaluated conditions for sophisticated execution.

You define control flow and AI-evaluated conditions by writing structured Prose programs that specify agent roles, session boundaries, and conditional logic. The AI assistant evaluates these conditions during execution to direct subagent behavior dynamically.

The best way to automate report generation is defining separate Prose agents for data collection, analysis, and writing, then orchestrating them in a coordinated workflow. This ensures the agents work together seamlessly with managed state and parallel execution.

Yes, Prose supports state management across multiple concurrent AI sessions, ensuring continuity in complex workflows. You can maintain and share state across parallel executing subagents to coordinate their outputs effectively.