AI Marketing Workforce
A multi-agent system that runs marketing like a team
Role: Designer & builder — agent architecture and orchestration
Marketing at scale is a dozen specialist roles — campaign management, analytics, content, SEO, audience research — coordinated by someone who can see the whole board. That coordination is exactly the part that used to need a large team.
A multi-agent system built around a Marketing Executive orchestration agent that plans the work and delegates to specialists: a Campaign Optimizer (ROAS, A/B tests, bid and budget reallocation), an Analytics & Reporting agent (cross-channel aggregation, anomaly detection, attribution modelling, trend forecasting), plus content, SEO and audience agents — each owning its slice and reporting back into one view.
- 01An orchestrator that decomposes a goal into tasks and routes each to the right specialist agent.
- 02Specialist agents with scoped tools and structured outputs, so results are machine-checkable, not just prose.
- 03A shared state and reporting layer that rolls specialist results up into a single cross-channel picture.
- 04Claude for the reasoning, with deterministic guardrails around anything that would spend budget.
- →Coordinates the work that previously needed a roomful of specialists.
- →Campaign, analytics and content tasks run in parallel and report into one place.
- →Any figures shown inside the demo UI are illustrative sample data.
- ✓Multi-agent orchestration design (a planner driving specialist agents)
- ✓LLM tool-use and structured outputs in a real workflow
- ✓Attribution, anomaly detection and reporting logic
- ✓Turning an operator's playbook into an automated system
Tightening the guardrails around spend and adding more specialist agents as the playbook grows.