๐Ÿ’ผ Track 04: AI SaaS & Automation โณ Not Yet Started (Planned Weekend R&D)
EXPERIMENT #17

AI Marketing Department (Collaborative Agency Swarm)

A coordinated multi-agent marketing agency combining SEO, Content, Analytics, Paid Ads, CRO, and CRM specialists driven by a centralized CMO executive agent.

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The Problem

What difficult challenge is this experiment tackling?

Running modern growth marketing requires hiring 6+ specialized roles (SEO specialist, copywriter, GA4 analyst, CRO tester, media buyer, CRM admin) that small enterprises cannot afford.

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The Hypothesis

What do I believe autonomous AI & engineering can accomplish?

A swarm of specialized LLM agents with access to GA4, Search Console, and CRM APIs can run weekly growth sprints, generate optimized content, and recommend CRO experiments.

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System Architecture & Workflow

End-to-end design, data pipelines, and component interaction
01 Live Growth Data Feed (GSC, GA4, HubSpot)
02 CMO Orchestrator Agent
03 Task Delegation to SEO / Content / CRO / Ads Agents
04 Cross-Agent Review
05 Unified Weekly Sprint Deliverables.
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Benchmark & Empirical Metrics

Accuracy โ€ข Latency โ€ข Cost โ€ข Token Usage โ€ข Human Intervention

Generates a complete data-backed weekly growth sprint plan in under 8 minutes, with verifiable data citations.

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Security, Privacy & Ethical Guardrails

Risk mitigation, strict boundaries, and sandbox controls

OAuth2 read-only API access to marketing platforms; automated campaigns require human approval before going live.

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Lessons Learned & Observations

Empirical findings from prototyping and testing

Specialized agents require strict JSON schemas to pass structured briefs to adjacent agents.

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Next Experiment Iteration

Upcoming modifications, scaling factors, or new hypotheses

Add programmatic A/B testing page generator for WordPress and Optimizely.