agent-framework/python/samples/03-workflows/declarative/marketing

Marketing Copy Workflow

This sample demonstrates a sequential multi-agent pipeline for generating marketing copy from a product description.

Overview

The workflow showcases:

• Sequential Agent Pipeline: Three agents work in sequence, each building on the previous output
• Role-Based Agents: Each agent has a distinct responsibility
• Content Transformation: Raw product info transforms into polished marketing copy

Agent Pipeline

Product Description
       |
       v
  AnalystAgent  --> Key features, audience, USPs
       |
       v
   WriterAgent  --> Draft marketing copy
       |
       v
   EditorAgent  --> Polished final copy
       |
       v
  Final Output

Agents

Agent	Role
AnalystAgent	Identifies key features, target audience, and unique selling points
WriterAgent	Creates compelling marketing copy (~150 words)
EditorAgent	Polishes grammar, clarity, tone, and formatting

Usage

# Run the demonstration with mock responses
python main.py

Example Input

An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours.

Configuration

For production use, configure these agents in Azure AI Foundry:

AnalystAgent

Instructions: You are a marketing analyst. Given a product description, identify:
- Key features
- Target audience
- Unique selling points

WriterAgent

Instructions: You are a marketing copywriter. Given a block of text describing
features, audience, and USPs, compose a compelling marketing copy (like a
newsletter section) that highlights these points. Output should be short
(around 150 words), output just the copy as a single text block.

EditorAgent

Instructions: You are an editor. Given the draft copy, correct grammar,
improve clarity, ensure consistent tone, give format and make it polished.
Output the final improved copy as a single text block.