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Python FastAPI Mistral AI Twilio n8n SQLite Google Sheets

Wholesale AI Agent

Automated SMS lead qualification and acquisition pipeline for real estate wholesalers

Client: Internal Tool
Industry: Real Estate
Timeline: 3 weeks
Wholesale AI Agent screenshot

100+

Leads contacted per campaign with zero manual effort

~80%

Reduction in time spent on lead qualification

< 60s

Hot lead detection and escalation time

2–3

Text exchanges to collect full property data

The Problem

Real estate wholesalers spend hours manually texting seller and buyer leads, most of whom never respond. Following up at the right time, qualifying interest, and collecting property details requires constant attention — making it impossible to run high-volume outreach without a full team. The process was entirely manual: send a blast, wait for replies, respond individually, ask the right questions, score the lead, and schedule a visit — all while managing hundreds of contacts across campaigns.

The Approach

  1. 1

    Built a multi-campaign SMS/WhatsApp outreach system with Twilio, supporting number rotation and A/B template testing

  2. 2

    Integrated Mistral AI to handle full conversations — qualifying leads, scoring motivation (0–100), and collecting property details naturally through text

  3. 3

    Designed a two-phase pipeline: initial engagement → automatic escalation into acquisition mode once a lead scores hot (≥70)

  4. 4

    Added business hours enforcement, configurable response delays, and per-lead AI pause for human takeover

  5. 5

    Automated follow-up sequences (Day 3 / 7 / 14) and visit scheduling with slot management

  6. 6

    Connected to n8n for real-time notifications on hot leads, booked visits, and new inbound contacts

Tech Stack

Python FastAPI SQLite Mistral AI Twilio n8n Google Sheets API Cloudflare Tunnel

"Before this, I was copy-pasting texts for hours and still missing follow-ups. Now the whole pipeline runs itself — I just step in when a deal is hot."

Marcus T. — Real Estate Wholesaler

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