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AI Marketing Agents

Three agents — research, creative, compliance — where nothing reaches a channel until the compliance pass clears it.

Results

What it did

3agents — research, creative, compliance
Gatedcompliance runs before anything deploys
Chainedshared context between agents

The problem

Why it needed building

Marketing teams spend weeks on campaign creation — researching markets, writing copy, getting legal approval. Each step involves different expertise and tools. The goal was to compress this into minutes by orchestrating specialized AI agents that collaborate autonomously, each handling a distinct phase of the campaign lifecycle.

The approach

How it works

Built a multi-agent orchestration system with three specialized agents: a Research Agent that analyzes market data, competitors, and audience segments; a Creative Agent that generates ad copy, email campaigns, and social content aligned with brand voice; and a Compliance Agent that checks all output against legal guidelines and brand policies. Agents communicate through a shared context pipeline with prompt chaining for coherent output.

  1. Campaign Brief
  2. Research Agent
  3. Creative Agent
  4. Compliance Agent
  5. Deployment
  1. 01
    Campaign BriefUser defines objectives, audience, and constraints
  2. 02
    Research AgentAnalyzes market data, competitors, and trends
  3. 03
    Creative AgentGenerates copy, visuals, and campaign structure
  4. 04
    Compliance AgentReviews for legal, brand, and policy adherence
  5. 05
    DeploymentAuto-publishes to CRM, email, and social platforms

Live demo

Try it yourself

Research Agent
→
Creative Agent
→
Compliance Agent

Tech stack

Built with

Multi-AgentLLM OrchestrationPrompt ChainsCRMPythonFastAPIRedisPostgreSQL

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