google-ads-orchestrator

Multi-brand Google Ads automation is handled by orchestrating a multi-agent AI system that runs automated 6-day optimization cycles. It coordinates 7 specialized sub-agents via SSH to manage analysis, strategy adjustments, and campaign launches across distinct brand configurations.

A multi-agent AI optimization cycle is a 6-day automated process where a central orchestrator dispatches tasks to 7 sub-agents via SSH. It consolidates agent outputs, enforces budget authority, and delivers campaign scaling recommendations for human approval.

Yes, you need SSH for inter-machine communication to dispatch tasks to sub-agents, and Supabase for data management. These dependencies are required to coordinate the multi-agent system and handle multi-brand campaign configurations securely.

Budget approval workflows are enforced directly by the orchestrator acting as the human interface. It proposes campaign scaling actions, requires explicit human approval for key budget decisions, and delivers cycle summaries to ensure human oversight.

Coordinating multiple AI agents for ad automation is best handled by a central orchestrator that dispatches tasks via SSH and consolidates outputs. This approach manages 7 sub-agents through structured 6-day cycles to ensure data-driven campaign adjustments.

Centralized orchestration ensures synchronized 6-day optimization cycles across 7 sub-agents while maintaining a single interface for human input. It prevents fragmented campaign management by enforcing budget authority and consolidating multi-brand campaign summaries.