ai-office-landing

Multi-agent orchestration coordinates cross-functional teams across phases 0 to 5 using prompts, adapters, and a centralized brief. An orchestrator performs summary and consistency checks to deliver incremental outputs with iterative validation.

Dynamic skill discovery routes adapters across execution phases to optimize cost efficiency. The orchestrator tracks costs while coordinating agents to ensure cross-agent consistency throughout the living brief lifecycle.

Yes, multi-agent orchestration requires bash, jq, node, and curl as technical prerequisites, along with repository assets. These dependencies support the orchestrator in executing end-to-end workflows from Phase 0 to Phase 5.

Start a living brief workflow by initiating the command /landing, then respond to inter-agent questions to drive execution from Phase 0 through Phase 5. The workflow produces incremental deliverables with on-demand Q&A.

The best way to maintain cross-agent consistency is using an orchestrator-based summary that performs consistency checks across agents. This centralized living brief approach validates deliverables incrementally through each phase.

Yes, multi-agent orchestration supports cross-functional team collaboration through dialog-driven interactions, dynamic adapter routing, and phase-based execution with iterative validation, enabling rapid delivery of final assets.