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Customer Outreach Campaigns with Tools\n\n### *An autonomous AI-powered sales pipeline built with CrewAI, OpenAI & Live Web Search*\n\n---\n\n![Python](https://img.shields.io/badge/Python-3.10+-3776AB?style=for-the-badge&logo=python&logoColor=white)\n![CrewAI](https://img.shields.io/badge/CrewAI-0.28.8-FF6B6B?style=for-the-badge&logo=robot&logoColor=white)\n![OpenAI](https://img.shields.io/badge/OpenAI-GPT--3.5-412991?style=for-the-badge&logo=openai&logoColor=white)\n![LangChain](https://img.shields.io/badge/LangChain-0.0.29-1C3C3C?style=for-the-badge&logo=chainlink&logoColor=white)\n![Jupyter](https://img.shields.io/badge/Jupyter-Notebook-F37626?style=for-the-badge&logo=jupyter&logoColor=white)\n![License](https://img.shields.io/badge/License-MIT-22C55E?style=for-the-badge)\n\n---\n\n> 💡 *\"What if your entire sales outreach process — research, profiling, and email writing — could run on autopilot, powered by AI agents?\"*\n> \n> **This project makes that a reality.**\n\n---\n\n![Banner](https://images.unsplash.com/photo-1677442135703-1787eea5ce01?w=1200&h=400&fit=crop&q=80)\n\n</div>\n\n---\n\n## 📌 Table of Contents\n\n- [🌟 Project Overview](#-project-overview)\n- [✨ Key Features](#-key-features)\n- [🏗️ System Architecture](#-system-architecture)\n- [🤖 The AI Agents](#-the-ai-agents)\n- [🛠️ Tools Used](#-tools-used)\n- [📋 Tasks Breakdown](#-tasks-breakdown)\n- [⚙️ Installation & Setup](#-installation--setup)\n- [🚀 How to Run](#-how-to-run)\n- [📊 Example Output](#-example-output)\n- [🧠 How It Works](#-how-it-works)\n- [📁 Project Structure](#-project-structure)\n- [🔮 Future Improvements](#-future-improvements)\n- [👤 Author](#-author)\n\n---\n\n## 🌟 Project Overview\n\nThis project implements a **fully autonomous, multi-agent AI system** designed to automate the entire customer outreach workflow — from deep company research to crafting hyper-personalized sales emails.\n\nBuilt from scratch using **CrewAI**, it showcases how multiple AI agents can collaborate, delegate, and use real-world tools to complete complex business tasks **without human intervention**.\n\nThe system targets a specific lead (e.g. *Google Cloud / Sundar Pichai*), researches them using **live web search**, analyzes sentiment, and produces **professional, personalized outreach emails** — all autonomously.\n\n---\n\n## ✨ Key Features\n\n| Feature | Description |\n|--------|-------------|\n| 🤖 **Multi-Agent Architecture** | Two specialized AI agents with distinct roles collaborating in a crew |\n| 🔍 **Live Web Search** | Real-time Google search via SerperDev API for up-to-date lead research |\n| 🧠 **Persistent Memory** | Agents share context and memory across tasks for coherent output |\n| 💬 **Custom NLP Tool** | Hand-built `SentimentAnalysisTool` to ensure positive communication tone |\n| 📂 **File & Directory Tools** | Reads local instruction files to guide agent behavior |\n| ✉️ **Auto Email Generation** | Produces professional, tailored outreach emails targeting specific decision-makers |\n| 🔧 **Fully Extensible** | Swap in any LLM, add new agents, or connect real sentiment models |\n\n---\n\n## 🏗️ System Architecture\n\n```\n┌─────────────────────────────────────────────────────────┐\n│                        CREW AI                          │\n│                                                         │\n│   ┌─────────────────┐       ┌──────────────────────┐   │\n│   │  Sales Rep      │──────▶│  Lead Sales Rep      │   │\n│   │  Agent 🔍       │       │  Agent ✉️             │   │\n│   └────────┬────────┘       └──────────┬───────────┘   │\n│            │                           │               │\n│   ┌────────▼────────┐       ┌──────────▼───────────┐   │\n│   │ Lead Profiling  │       │ Personalized         │   │\n│   │ Task            │       │ Outreach Task        │   │\n│   └────────┬────────┘       └──────────┬───────────┘   │\n│            │                           │               │\n│   ┌────────▼──────────────────────────▼───────────┐   │\n│   │     TOOLS: WebSearch | FileReader | Sentiment  │   │\n│   └────────────────────────────────────────────────┘   │\n└─────────────────────────────────────────────────────────┘\n                          │\n                          ▼\n            📧 Personalized Outreach Campaign\n```\n\n---\n\n## 🤖 The AI Agents\n\n### 🔍 Agent 1 — Sales Representative\n> *\"The Researcher\"*\n\n- **Role:** Scours the internet and internal files to build a detailed lead profile\n- **Goal:** Identify high-value leads that match the ideal customer profile\n- **Skills:** Data analysis, trend identification, strategic profiling\n- **Tools:** `DirectoryReadTool`, `FileReadTool`, `SerperDevTool`\n\n---\n\n### ✉️ Agent 2 — Lead Sales Representative\n> *\"The Communicator\"*\n\n- **Role:** Crafts personalized, compelling outreach based on research findings\n- **Goal:** Nurture leads with tailored communications that convert interest into action\n- **Skills:** Persuasive writing, sentiment analysis, brand tone matching\n- **Tools:** `SentimentAnalysisTool`, `SerperDevTool`\n\n---\n\n## 🛠️ Tools Used\n\n### 🔧 Built-in CrewAI Tools\n\n| Tool | Purpose |\n|------|---------|\n| 📁 `DirectoryReadTool` | Reads local `./instructions` folder for campaign guidelines |\n| 📄 `FileReadTool` | Opens and reads individual instruction files |\n| 🌐 `SerperDevTool` | Performs live Google searches for real-time company research |\n\n### 🧪 Custom Tool — Built from Scratch\n\n```python\nclass SentimentAnalysisTool(BaseTool):\n    name: str = \"Sentiment Analysis Tool\"\n    description: str = (\n        \"Analyzes the sentiment of text to ensure \n         positive and engaging communication.\"\n    )\n\n    def _run(self, text: str) -> str:\n        # Extensible: plug in HuggingFace, VADER, or any NLP model\n        return \"positive\"\n```\n\n> 🔬 This custom tool was built by subclassing CrewAI's `BaseTool` — it can be extended with any real NLP model for production use.\n\n---\n\n## 📋 Tasks Breakdown\n\n### 📊 Task 1 — Lead Profiling\nConducts deep research on the target company using all available tools. Produces a comprehensive report covering:\n- Company background & industry position\n- Key decision-makers & personnel\n- Recent milestones & business developments\n- Identified pain points & opportunities\n\n### 📧 Task 2 — Personalized Outreach\nUsing the profiling report, crafts a series of tailored outreach emails that:\n- Address the lead's specific recent milestones\n- Match the company's culture and tone\n- Connect solutions to the lead's goals\n- Are validated for positive, professional sentiment\n\n---\n\n## ⚙️ Installation & Setup\n\n### Prerequisites\n- Python 3.10+\n- OpenAI API Key → [Get one here](https://platform.openai.com)\n- Serper API Key → [Get one here](https://serper.dev)\n\n### Install Dependencies\n\n```bash\npip install crewai==0.28.8 crewai_tools==0.1.6 langchain_community==0.0.29\n```\n\n### Configure API Keys\n\n```python\nimport os\nos.environ[\"OPENAI_API_KEY\"] = \"your-openai-key\"\nos.environ[\"OPENAI_MODEL_NAME\"] = \"gpt-3.5-turbo\"   # or gpt-4-turbo\nos.environ[\"SERPER_API_KEY\"] = \"your-serper-key\"\n```\n\n> ⚠️ **Never hardcode API keys.** Use environment variables or a `.env` file.\n\n---\n\n## 🚀 How to Run\n\n```bash\n# 1. Clone the repository\ngit clone https://github.com/Pradeep-Kumar25th/multi-agent-customer-outreach.git\ncd multi-agent-customer-outreach\n\n# 2. Install dependencies\npip install -r requirements.txt\n\n# 3. Open the notebook\njupyter notebook \"Multi-Agent System for Customer Outreach Campaigns with Tools.ipynb\"\n\n# 4. Run all cells!\n```\n\n### 🎯 Customize Your Target Lead\n\n```python\ninputs = {\n    \"lead_name\": \"Google Cloud\",          # 🏢 Target company\n    \"industry\": \"Cloud Platform\",          # 🏭 Industry\n    \"key_decision_maker\": \"Sundar Pichai\", # 👤 Target person\n    \"position\": \"CEO\",                     # 💼 Their role\n    \"milestone\": \"product launch\"          # 🎯 Recent milestone\n}\n```\n\n---\n\n## 📊 Example Output\n\nThe system produces a **full outreach campaign** like:\n\n```\nSubject: Empowering Google Cloud's Next Chapter After Your Latest Product Launch\n\nDear Sundar,\n\nHaving closely followed Google Cloud's remarkable trajectory, particularly \nyour recent product launch that has set new benchmarks in cloud innovation...\n\n[Full personalized email crafted by AI agents]\n```\n\n---\n\n## 🧠 How It Works\n\n```\n1. 📥  Input lead details (company, decision-maker, milestone)\n         │\n2. 🔍  Sales Rep Agent researches the company using web search + files\n         │\n3. 📝  Lead Profiling Task generates a comprehensive report\n         │\n4. ✉️  Lead Sales Rep Agent reads the report + writes outreach emails\n         │\n5. 😊  SentimentAnalysisTool validates tone is positive & professional\n         │\n6. 📤  Final personalized email campaign is output as Markdown\n```\n\n---\n\n## 📁 Project Structure\n\n```\n📦 multi-agent-customer-outreach/\n ┣ 📓 Multi-Agent System for Customer Outreach Campaigns with Tools.ipynb\n ┣ 📁 instructions/\n ┃ ┗ 📄 campaign_guidelines.txt\n ┣ 📄 utils.py\n ┣ 📄 requirements.txt\n ┗ 📄 README.md\n```\n\n---\n\n## 🔮 Future Improvements\n\n- [ ] 🔁 Add a feedback loop agent to refine emails based on response rates\n- [ ] 🧠 Integrate real sentiment model (HuggingFace / VADER)\n- [ ] 📊 Add a reporting agent to track campaign performance\n- [ ] 🗃️ Connect to CRM systems (HubSpot, Salesforce)\n- [ ] 🌍 Multi-language outreach support\n- [ ] 🖥️ Build a Streamlit UI for non-technical users\n\n---\n\n## 👤 Author\n\n<div align=\"center\">\n\n**Built from scratch with ❤️**\n\nIf you found this project useful, please consider giving it a ⭐ — it helps others discover it!\n\n[![GitHub](https://img.shields.io/badge/Follow_on_GitHub-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Pradeep-Kumar25th)\n[![LinkedIn](https://img.shields.io/badge/Connect_on_LinkedIn-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/pradeep-kumar-a765b0219/)\n\n---\n\n*Made with 🤖 CrewAI • 🧠 OpenAI • 🔍 SerperDev • 🐍 Python*\n\n</div>\n","readmeExcerpt":"<div align=\"center\"> 🤖 Multi-Agent System for Customer Outreach Campaigns with Tools *An autonomous AI-powered sales pipeline built with CrewAI, OpenAI & Live Web Search* --- --- 💡 *\"What if your entire sales outreach process — research, profiling, and email writing — could run on autopilot, powered by AI agents?\"* **This project makes that a reality.** --- </div> --- 📌 Table of Contents - $1 - $1 - $1 - $1 - $1 -","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"┌─────────────────────────────────────────────────────────┐\n│                        CREW AI                          │\n│                                                         │\n│   ┌─────────────────┐       ┌──────────────────────┐   │\n│   │  Sales Rep      │──────▶│  Lead Sales Rep      │   │\n│   │  Agent 🔍       │       │  Agent ✉️             │   │\n│   └────────┬────────┘       └──────────┬───────────┘   │\n│            │                           │               │\n│   ┌────────▼────────┐       ┌──────────▼───────────┐   │\n│   │ Lead Profiling  │       │ Personalized         │   │\n│   │ Task            │       │ Outreach Task        │   │\n│   └────────┬────────┘       └──────────┬───────────┘   │\n│            │                           │               │\n│   ┌────────▼──────────────────────────▼───────────┐   │\n│   │     TOOLS: WebSearch | FileReader | Sentiment  │   │\n│   └────────────────────────────────────────────────┘   │\n└─────────────────────────────────────────────────────────┘\n                          │\n                          ▼\n            📧 Personalized Outreach Campaign"},{"language":"python","snippet":"class SentimentAnalysisTool(BaseTool):\n    name: str = \"Sentiment Analysis Tool\"\n    description: str = (\n        \"Analyzes the sentiment of text to ensure \n         positive and engaging communication.\"\n    )\n\n    def _run(self, text: str) -> str:\n        # Extensible: plug in HuggingFace, VADER, or any NLP model\n        return \"positive\""},{"language":"bash","snippet":"pip install crewai==0.28.8 crewai_tools==0.1.6 langchain_community==0.0.29"},{"language":"python","snippet":"import os\nos.environ[\"OPENAI_API_KEY\"] = \"your-openai-key\"\nos.environ[\"OPENAI_MODEL_NAME\"] = \"gpt-3.5-turbo\"   # or gpt-4-turbo\nos.environ[\"SERPER_API_KEY\"] = \"your-serper-key\""},{"language":"bash","snippet":"# 1. 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