sales-outreach-automation-langgraphAgent34/100 via “ai-powered lead qualification with multi-llm provider support”
Automate lead research, qualification, and outreach with AI agents and Langgraph, creating personalized messaging and connecting with your CRMs (HubSpot, Airtable, Google Sheets)
Unique: Abstracts LLM provider selection through a utility layer (src/utils.py) that routes requests to Gemini, OpenAI, or Anthropic based on configuration, enabling cost optimization (use cheaper models for simple scoring, advanced models for complex analysis) without code changes. Qualification logic is prompt-driven rather than rule-based, allowing non-technical users to adjust criteria.
vs others: More flexible than rule-based scoring because LLM can reason about nuanced fit signals (e.g., 'company is hiring for AI roles, which aligns with our product'); more transparent than black-box ML models because LLM provides reasoning for each decision.