Add Automated Outbound Lead Caller for Real Estate and Financial Services

[sazed-bot]

Source URLs

• Candidate source: https://github.com/Awaisali36/Outbound-Real-State-Voice-AI-Agent-
• GitHub source: https://github.com/Awaisali36/Outbound-Real-State-Voice-AI-Agent-

Assessor score

• Score: 5
• Version: assessor_llm_v2

Synopsis

Forkable outbound real-estate/financial-services voice AI template that pulls leads from Airtable on a cron, places Vapi calls with a GPT-4o assistant, and sends Calendly booking links via Twilio WhatsApp/SMS and Gmail through an n8n workflow.

Reasoning

Repo contains concrete artifacts (n8n workflow JSON, Vapi assistant config, Vapi tool config, prompt file) under MIT, with a clearly named industry (real estate, also financial services/insurance) and use case (outbound lead qualification + appointment booking). Stack spans telephony, STT, LLM, TTS, and orchestration, all real named products. No disqualifiers fire.

Claude raw output

{
  "id": "real-estate-outbound-lead-caller",
  "slug": "real-estate-outbound-lead-caller",
  "tags": [
    "outbound-calling",
    "lead-qualification",
    "appointment-booking",
    "airtable-integration",
    "multi-channel-follow-up",
    "scheduled-automation",
    "n8n-workflow"
  ],
  "title": "Automated Outbound Lead Caller for Real Estate and Financial Services",
  "config": {
    "tools": [
      {
        "name": "book_appointment",
        "parameters": {
          "type": "object",
          "required": [
            "preferred_timeslot"
          ],
          "properties": {
            "preferred_timeslot": {
              "type": "string",
              "description": "The date/time prospect wants to meet (ISO format)"
            }
          }
        },
        "description": "Books an appointment by sending Calendly link via email and WhatsApp"
      }
    ],
    "schedule": "Every 4 minutes, 11 AM - 4 PM (America/Chicago)",
    "voice_id": "not specified",
    "first_message": "Hi {{prospect_name}}! This is Sarah from [Your Company]. I'm calling about [your service]. Do you have a quick minute to chat?",
    "status_updates": [
      "To Do",
      "Done",
      "Number not Found"
    ],
    "airtable_filter": "{Call}='To Do'",
    "cron_expression": "*/4 11-16 * * *",
    "multi_channel_follow_up": {
      "email": true,
      "whatsapp": true,
      "calendly_link": true
    },
    "lead_limit_per_execution": 1
  },
  "source": "github_discovery",
  "license": "MIT",
  "demo_url": null,
  "industry": "real-estate",
  "pipeline": {
    "llm": "GPT-4o",
    "stt": "Deepgram Nova-2",
    "tts": "ElevenLabs Turbo v2.5",
    "telephony": "Twilio Voice"
  },
  "use_case": "outbound-follow-up",
  "framework": "Vapi",
  "languages": [
    "en-US"
  ],
  "created_at": "2025-06-08T19:30:00-05:00",
  "raw_prompt": "You are a professional real estate/financial advisor calling to qualify leads and book appointments. Prospect Information: Name: {{prospect_name}}, Company: {{company_name}}, Industry: {{industry}}, Title: {{prospect_title}}. Your goals: 1. Introduce yourself warmly 2. Reference their company and industry 3. Explain your service briefly 4. Gauge interest 5. Offer to send a Calendly booking link 6. If they want to book, call the book_appointment function. Be conversational, professional, and respectful of their time. If they're not interested, thank them and end the call politely.",
  "updated_at": "2025-06-08T19:30:00-05:00",
  "contributor": {
    "github": "Awaisali36"
  },
  "description": "An AI voice agent that automatically calls leads from Airtable on a schedule, conducts natural conversations to qualify prospects, and sends appointment booking links via email and WhatsApp. The agent validates phone numbers, tracks call status, and integrates with Calendly for seamless appointment scheduling across real estate, financial services, insurance, and sales teams.",
  "prompt_file": null,
  "github_source_url": "https://github.com/Awaisali36/Outbound-Real-State-Voice-AI-Agent-"
}

Dedup decision

F6 dedup has not landed yet; no dedup decision available.

Reviewer notes

approve-to-pr running: