RigHaven is a platform that coordinates document and material creation using multiple AI agents. Upon receiving a user request, an orchestrating agent selects the appropriate team members and tools, managing task delegation, review, and delivery. It is designed not only for documents but also for presentations, videos, and data analysis. For example, consider a request to generate charts from multiple CSV files and compile them into an editable report. Each agent operates in an isolated container environment and accesses the original project in read-only mode. All write operations are restricted to the agent’s own workspace; other agents can only view explicitly transferred deliverables. This distinguishes RigHaven from systems where multiple agents freely modify the same source file. Even after deliverables are produced, the process does not end with direct handoff. Each output undergoes independent review, and the user must explicitly approve or request revisions. Only after verifying compliance with rules defined in the Policy Book is the final deliverable released. Results at each stage require user confirmation before proceeding—this system does not assume a fully hands-off approach where the user only receives the final output. The platform also includes functionality to restrict communication endpoints, but requires explicit allowlist configuration. When enabled, each task communicates only with pre-declared destinations corresponding to the AI provider and assigned role. This combines task separation with precise connectivity controls. Although work environments are isolated by role, a robust execution platform with elevated privileges is essential for administration. Security cannot be guaranteed solely by agent isolation—deployment environment requirements must also be verified. RigHaven is a project that structures multi-AI collaboration as a complete production workflow, encompassing file handoffs and human decision-making at every stage.