Autonomous AI Agents
AI Lead Engine — Autonomous 4-Agent Pipeline
Autonomous 4-agent outbound system (Alex, Sarah, Marcus, Chloe) that discovers leads from Google Maps, verifies SEO/chatbot gaps, and sends personalized AI emails on autopilot.

Case Study Overview
Value & Architecture Breakdown
1. Problem
Manual B2B lead prospecting, lead audit, and cold email outreach require enormous human labor and deliver poor response rates.
2. Solution
Designed a multi-agent orchestration pipeline using Playwright crawlers, PostgreSQL/BullMQ queue management, and OpenAI cold outreach generation.
3. Tech Stack
4. Business Impact
Processes 100+ qualified business leads per job automatically without human intervention.
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System Architecture
Four agents, one pipeline
The system runs as a fully automated pipeline. Alex discovers leads (including social activity checks), Sarah qualifies them, Marcus reaches out via email, and Chloe handles social outreach — all without manual intervention. Each job processes hundreds of leads on a schedule you control.
Alex
Lead Collector
Scrapes Google Maps Business Profiles looking for businesses with 1–2 reviews, collects their name, review count, email, website, and social handles. Verifies whether their social accounts are active — checks if they posted in the last 2 days. If a business has a website but no email, Alex scrapes the site to extract it.

Sarah
Lead Verifier
Takes Alex's leads and verifies each one for SEO readiness, page speed performance, design quality, and whether they have a chatbot. Assigns qualification tags so the right outreach angle is used.

Marcus
Email Outreach
Crafts personalized emails for each verified lead using OpenAI. Sends through the user's chosen email provider — professional SMTP or Gmail — with human-like delivery timing to maximize open rates.

Chloe
LOCKEDSocial Outreach
Takes verified leads and sends personalized direct messages over Instagram and LinkedIn. Uses the social handles collected by Alex to engage leads on their active platforms with AI-crafted messaging.
How it all connects
Step 1
Alex crawls GMB for leads + social activity → stores in PostgreSQL via Prisma
Step 2
Sarah verifies each lead → BullMQ queue processes verification jobs
Step 3
Marcus generates + sends emails → OpenAI crafts copy, Nodemailer delivers
Step 4
Chloe sends social DMs → Instagram + LinkedIn outreach (under development)
Full Tech Stack
Every tool that powers this system
A comprehensive breakdown of all languages, frameworks, libraries, and services used.
Languages
TypeScript
All app code, server actions, API routes, worker services & automation engines
TSX / JSX
React components and pages (Next.js App Router)
Prisma Schema
Database modeling
Framework
Next.js 15
Full-stack React framework (App Router, API routes, server actions)
React 19
UI rendering
UI & Styling
Tailwind CSS 3.4
Utility-first CSS framework
Radix UI
Headless accessible UI primitives (avatar, dialog, dropdown, tabs, toast, etc.)
Framer Motion 11
Animations & transitions
Lucide React
Icon library
Recharts
Data visualization & charting
Data & State
TanStack React Query 5
Server state & async data fetching
TanStack React Table 8
Headless data table
Zustand 5
Client-side state management
Zod 3
Schema validation & type inference
Backend & Database
Prisma 6
ORM + schema migrations + type-safe database client
PostgreSQL
Production database (via Docker Compose)
SQLite
Local dev database
Authentication
NextAuth.js v5
Authentication framework with Prisma adapter
bcryptjs
Password hashing
jose
JWT / JWS handling
Job Queue & Background Processing
BullMQ 5
Redis-backed job queue for background tasks
ioredis
Redis client
Web Scraping & Automation
Playwright
Browser automation (headless Chromium) for GMB scraping
Cheerio
HTML parsing & DOM manipulation for email extraction
Email & Outreach
Nodemailer
SMTP email sending (professional email or Gmail)
imap / imap-simple
IMAP email reading (inbox monitoring)
AI
OpenAI SDK
GPT integration for personalized email content generation
DevOps & Utilities
Docker
Containerized deployment (Docker Compose)
date-fns
Date manipulation
pino
Structured JSON logging
p-limit
Concurrency control
Key Technologies
The tools that powered this project
Achievements
Measurable impact
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